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Dear fellow Locater,
You will find below my collection of references for September 2026.
It is subdivided into the 49 most recent references from 2023-2026 and 51 earlier ones all of 2017.
The attached BibTeX file contains as usual the full 100 item September collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] Seyed Vahid Ahmadi, Seyed Hossein Iranmanesh, and Aliyeh Kazemi. Robust optimization for bioethanol supply chain networks: Balancing sustainability, resilience, and responsiveness. Socio-Economic Planning Sciences, 106:102565, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102565> ]
[2] Wenqing Ai, Hanyu Cheng, and Wei Qi. Optimizing urban electric vehicle charging and battery swapping infrastructure: A location-inventory-grid model. Transportation Research Part E: Logistics and Transportation Review, 214:104897, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104897> ]
[3] Kayhan Alamatsaz, Frédéric Quesnel, and Ursula Eicker. Joint optimization of electric bus scheduling and fast charging infrastructure location planning. Transportation Research Part C: Emerging Technologies, 191:105803, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105803> ]
[4] Haseeb Abid Awan, Saheeb Ahmed Kayani, Muhammad Ali Khan, and Salman Sagheer Warsi. An integrated framework for sustainable site selection and operations management of infectious waste disposal facilities. Discover Sustainability, 7(1):1339, 2026. [ DOI<http://dx.doi.org/10.1007/s43621-026-03665-0> ]
[5] Giuseppe Bruno, Antonio Diglio, Andreana Ferraioli, Carmela Piccolo, and Francisco Saldanha-da Gama. Spatial organization of multi-level services: A modeling framework for hierarchical districting. Omega, 144:103633, 2026. [ DOI<http://dx.doi.org/10.1016/j.omega.2026.103633> ]
[6] Narcis Bulboaca, Samin Jamalabadi, and Chris Schwiegelshohn. k-center with outliers in sliding windows. Operations Research Letters, 69:107504, 2026. [ DOI<http://dx.doi.org/10.1016/j.orl.2026.107504> ]
[7] Massimiliano Caramia, Maria Sole Gatta, Diego Maria Pinto, and Giuseppe Stecca. Robust location of collection facilities for waste management. Socio-Economic Planning Sciences, 106:102559, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102559> ]
[8] Jinqu Chen, Xiaowei Liu, Shaochuan Zhu, Deying Su, Bo Du, and Yong Yin. Resilience-oriented emergency resource site optimization for an urban multi-modal public transport network. Transportation Research Part D: Transport and Environment, 159:105493, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105493> ]
[9] Yin Feng, Enjian Yao, Rui Zhang, Rongsheng Chen, and Lexing Zhang. Optimization of electric vehicle charging station layout considering mobile charging vehicles. Transportation Research Part D: Transport and Environment, 159:105488, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105488> ]
[10] Abbas Foroozanfar, Amirhossein Amou Jafari, Ardavan Babaei, and Mohammad Reza Akbari Jokar. Optimizing facility location through the integration of desired and (semi/full) obnoxious facilities utilizing rectilinear distance metrics. Results in Engineering, 32:111884, 2026. [ DOI<http://dx.doi.org/10.1016/j.rineng.2026.111884> ]
[11] Natividad González-Blanco, Antonio J. Lozano, Vladimir Marianov, and Juan A. Mesa. Exact method for the rapid transit line design and slow network adjustments to maximize public transit share. Transportation Research Part B: Methodological, 212:103541, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103541> ]
[12] Shuo Guo and Lei Tong. Multi-attribute quantum group decision-making model considering disappointment theory under group intelligence and its application in the site selection of clean energy projects. Expert Systems with Applications, 328:132896, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.132896> ]
[13] Hezhishi Jiang, Yihang Li, Qing Lu, Yu Liu, Liyan Xu, and Hongmou Zhang. Massive retail location choice as a human‐flow‐covering problem. Geographical Analysis, 58(2):e70036, 2026. [ DOI<http://dx.doi.org/10.1111/gean.70036> ]
[14] Sajjad Kaheni, Mohammad Saeed Jabalameli, Ehsan Dehghani, and Peiman Ghasemi. Designing cost-effective and environmentally responsible saffron supply chains: A two-stage data-driven approach for public and service sector decision-making. Socio-Economic Planning Sciences, 106:102544, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102544> ]
[15] Tatiana Levanova and Ivan Khmara. Variable neighborhood search algorithm for the robust p-median problem. Journal of Mathematical Sciences, 300(3):345--353, 2026. [ DOI<http://dx.doi.org/10.1007/s10958-026-08531-y> ]
[16] Wei Liang, Álvaro Labella, Wen He, Bapi Dutta, Ying-Ming Wang, and Rosa M. Rodríguez. A novel hesitant fuzzy multiple criteria group decision-making model for site selection of emergency logistics center. Expert Systems with Applications, 325:132548, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.132548> ]
[17] Yuanrui Li, Qiuhong Zhao, and Qi Lin. Multi-objective green location-routing problem for drone-assisted delivery under uncertain demand. Computers & Industrial Engineering, 221:112302, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112302> ]
[18] Haoyan Li, Zhongqi Wu, and Shaoxuan Liu. Data-driven UAV network design for emergency medical services under spatio-temporal uncertainty. Transportation Research Part E: Logistics and Transportation Review, 214:105022, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105022> ]
[19] Yongliang Lu, Jinjie Fan, Xinmeng Lin, Shaowen Lan, Mingjie Li, and Raymond Chiong. Reinforcement learning-driven dynamic threshold search for the uncapacitated r-allocation p-hub center problem. Computers & Operations Research, 195:107595, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107595> ]
[20] Fabio Mercurio, Loe Schlicher, Sonja U.K. Rohmer, and Tom Van Woensel. Collaboration in parcel locker networks—a cooperative game for the joint placement of lockers. International Journal of Production Economics, 300:110096, 2026. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2026.110096> ]
[21] Runjie Miao. Approximation algorithm for the fault-tolerant knapsack center problem. Optimization Letters, 20(7):1457--1464, 2026. [ DOI<http://dx.doi.org/10.1007/s11590-026-02303-y> ]
[22] Jiyeong Min, Seokho Yoon, Hyeong Suk Na, and Sang Jin Kweon. Optimizing facility locations and shuttle routes for senior welfare centers in aging societies: A priority-based approach. Socio-Economic Planning Sciences, 106:102515, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102515> ]
[23] Kien Trung Nguyen, Nguyen Thanh Hung, Nguyen Thanh Luan, and Cao Minh Quang. The inverse 1-median problem on median graphs under 2-norm. Discrete Optimization, 61:100957, 2026. [ DOI<http://dx.doi.org/10.1016/j.disopt.2026.100957> ]
[24] Haruka Ohba and Shinya Mizuno. Emergency logistics hub optimization through multi-dimensional risk assessment. Computers & Industrial Engineering, 220:112267, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112267> ]
[25] Shahab Rahiminia, Saman Hassanzadeh Amin, Liping Fang, and Victor Shi. Design of a sustainable closed-loop supply chain under supply-side disruption: A quantity discount strategy. Socio-Economic Planning Sciences, 106:102570, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102570> ]
[26] David Rey and Michael W. Levin. A branch-and-price-and-cut algorithm for discrete network design problems under traffic equilibrium. Transportation Research Part B: Methodological, 212:103563, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103563> ]
[27] Saeid Rezaei and Maryam Bahrami. A geospatially clustered backup design for resilient and sustainable vaccine supply chains under distribution-center disruptions. Computers & Industrial Engineering, 220:112250, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112250> ]
[28] Marcos Robles, Sergio Cavero, and Eduardo G. Pardo. Mathematical formulation and heuristic methods for the min–max sitting arrangement problem in the cycle. European Journal of Operational Research, 335(3):693--709, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.04.047> ]
[29] Arne Schulz. A post-optimizer for the maximally diverse grouping problem. European Journal of Operational Research, 335(3):725--734, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.05.004> ]
[30] Fatemeh Shekoohi, Payam Afkhami, Bokang Li, Mohsen Khabir, Nasrin Malekpoor Joneghani, and Maxim A. Dulebenets. Closed-loop pharmaceutical supply chains: State of the art, emerging trends, and future research needs. Socio-Economic Planning Sciences, 106:102546, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102546> ]
[31] Aziz Sisman and Asli Calis Boyaci. Hesitant fuzzy spatial multi-criteria analysis for the site selection of micro electric car-sharing stations. Operational Research, 26(3):79, 2026. [ DOI<http://dx.doi.org/10.1007/s12351-026-01064-x> ]
[32] Dorsa Taghvaei and Masoud Rabbani. Designing a resilient humanitarian supply chain with intermodal transportation: A two-stage stochastic programming approach. Socio-Economic Planning Sciences, 106:102533, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102533> ]
[33] Ying Tang, Jia Guo, Yi Zheng, Hao Feng, Xiaoqin Pan, and Lei Zhou. k-means clustering with generalized metrics using ordered pair of normalized real numbers. Pattern Recognition, 180:114236, 2026. [ DOI<http://dx.doi.org/10.1016/j.patcog.2026.114236> ]
[34] Trung Hieu Tran and Thu Ba T. Nguyen. Reliable two-stage location problem for mitigating flood impact on sustainable agricultural production and waste management. Annals of Operations Research, 363(3):1959--1989, 2026. [ DOI<http://dx.doi.org/10.1007/s10479-026-07293-9> ]
[35] Danışment Vural. Optimizing drone-based humanitarian relief in post-disaster scenarios: a hybrid MCDM and maximum coverage approach. Operational Research, 26(3):56, 2026. [ DOI<http://dx.doi.org/10.1007/s12351-026-01048-x> ]
[36] Yifan Wu, Joseph Geunes, and Xiaofeng Nie. Revisiting continuous p-hub location problems with the l1 metric. IISE Transactions, 58(11):1435--1462, 2026. [ DOI<http://dx.doi.org/10.1080/24725854.2026.2621996> ]
[37] Elifcan Yaşa, İsmail Kayahan, and Seda Baş Güre. Pharmacy on-duty planning in urban environments: A gradual covering approach with workload equity. Socio-Economic Planning Sciences, 106:102567, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102567> ]
[38] Zih-An Yi and Ying-Chao Hung. Algorithmic optimization of facility location and demand allocation in shared mobility systems with asymmetric distance measures. Computers & Industrial Engineering, 220:112238, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112238> ]
[39] Yi-Shuang Yue, Yu-Hong Dai, and Haijun Yu. An efficient stochastic subgradient method for the global placement problem in very large-scale integration circuits. Journal of Global Optimization, 95(3):863--892, 2026. [ DOI<http://dx.doi.org/10.1007/s10898-026-01619-4> ]
[40] Liping Zhang, Tsuyoshi Migita, and Norikazu Takahashi. A novel approximate solution method for Euclidean Steiner tree problem based on genetic algorithm. IEEE Access, 14:122947--122962, 2026. [ DOI<http://dx.doi.org/10.1109/access.2026.3722514> ]
[41] Weijian Zhang, Chao Zuo, Yingxin Song, Min Kong, Amir M. Fathollahi-Fard, and Kaizhou Gao. Reinforcement learning-enhanced metaheuristic algorithm for a battery recycling closed-loop supply chain network design problem. Research in Transportation Business & Management, 68:101768, 2026. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2026.101768> ]
[42] Zhonghao Zhao, Kai Wang, Wei Zhang, Shulu Chen, and Xiaobo Qu. Joint planning of vertiports and backup landing sites for urban air mobility networks. Transportation Research Part E: Logistics and Transportation Review, 214:105075, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105075> ]
[43] Jue Zhou, Zoha Sherkat-Masoumi, and Merve Bodur. Fairness-aware strategic design of station-based electric car-sharing systems. Transportation Research Part C: Emerging Technologies, 191:105838, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105838> ]
[44] Thanathorn Phoka, Praeploy Poonprapan, and Pornpimon Boriwan. A heuristic approach to competitive facility location via multi-view k-means clustering with co-regularization and customer behavior. Mathematics, 13(15):2481, 2025. [ DOI<http://dx.doi.org/10.3390/math13152481> ]
[45] Šárka Štádlerová, Peter Schütz, Robin Halseth Aakvik, and Kenneth André Inghelm Mørkved. Location of fueling stations and routing of zero‐emission well‐boats in the Norwegian aquaculture industry. International Transactions in Operational Research, 34(1):311--336, 2025. [ DOI<http://dx.doi.org/10.1111/itor.70098> ]
[46] Rami Ahmad, Waseem Alhasan, Raniyah Wazirali, and Noura Aleisa. Optimization algorithms for wireless sensor networks node localization: An overview. IEEE Access, 12:50459--50488, 2024. [ DOI<http://dx.doi.org/10.1109/access.2024.3385487> ]
[47] Mong-Jen Kao. On the integrality gap of mfn relaxation for the capacitated facility location problem. In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1071--1089. Society for Industrial and Applied Mathematics, 2023. [ DOI<http://dx.doi.org/10.1137/1.9781611977554.ch40> ]
[48] Michael Kuby, Andrew Martinez, Scott Kelley, and Gil Tal. Hydrogen location selection and optimization: advanced models and behavioral evidence. In Antonio Scipioni, Alessandro Manzardo, and Jingzheng Ren, editors, Hydrogen Economy: Supply Chain, Life Cycle Analysis and Energy Transition for Sustainability, 2nd Ed., chapter 10. Academic Press, 2023. [ http<https://www.elsevier.com/books/hydrogen-economy/scipioni/978-0-323-99514-6> ]
[49] Rafael Martí and Anna Martínez-Gavara, editors. Discrete Diversity and Dispersion Maximization: A Tutorial on Metaheuristic Optimization. Springer International Publishing, 2023. [ DOI<http://dx.doi.org/10.1007/978-3-031-38310-6> ]
%%%%%%%%% OLDER %%%%%%%%%%%%%
[1] Xiangyong Li, Shaochong Lin, Si Chen, Y.P. Aneja, Peng Tian, and Youzhi Cui. An iterated metaheuristic for the directed network design problem with relays. Computers & Industrial Engineering, 113:35--45, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.08.036> ]
[2] Haoxiang Liu and David Z.W. Wang. Locating multiple types of charging facilities for battery electric vehicles. Transportation Research Part B: Methodological, 103:30--55, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.01.005> ]
[3] Jingfa Liu, Dawen Wang, Kun He, and Yu Xue. Combining Wang–Landau sampling algorithm and heuristics for solving the unequal-area dynamic facility layout problem. European Journal of Operational Research, 262(3):1052--1063, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.04.002> ]
[4] M.C. López-de-los Mozos, Juan A. Mesa, and Anita Schöbel. A general approach for the location of transfer points on a network with a trip covering criterion and mixed distances. European Journal of Operational Research, 260(1):108--121, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.12.025> ]
[5] Francisco López-Ramos, Esteve Codina, Ángel Marín, and Armando Guarnaschelli. Integrated approach to network design and frequency setting problem in railway rapid transit systems. Computers & Operations Research, 80:128--146, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.12.006> ]
[6] Leonardo Lozano and J. Cole Smith. A backward sampling framework for interdiction problems with fortification. INFORMS Journal on Computing, 29(1):123--139, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2016.0721> ]
[7] Pascal Lutter, Dirk Degel, Christina Büsing, Arie M.C.A. Koster, and Brigitte Werners. Improved handling of uncertainty and robustness in set covering problems. European Journal of Operational Research, 263(1):35--49, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.04.044> ]
[8] Baojun Ma, Qiang Wei, Guoqing Chen, Jin Zhang, and Xunhua Guo. Content and structure coverage: Extracting a diverse information subset. INFORMS Journal on Computing, 29(4):660--675, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0753> ]
[9] Meriem Mahjoub, I. Diarrassouba, A.R. Mahjoub, and R. Taktak. The survivable k-node-connected network design problem: Valid inequalities and branch-and-cut. Computers & Industrial Engineering, 112:690--705, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.03.007> ]
[10] Lina Mallozzi and Justo Puerto. The geometry of optimal partitions in location problems. Optimization Letters, 12(1):203--220, 2017. [ DOI<http://dx.doi.org/10.1007/s11590-017-1156-3> ]
[11] Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors. Spatial Interaction Models. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6> ]
[12] Monika Mangla and Deepak Garg. Rapidly converging solution for p-centers in nonconvex regions. Turkish Journal Of Electrical Engineering & Computer Sciences, 25:2424--2433, 2017. [ DOI<http://dx.doi.org/10.3906/elk-1601-186> ]
[13] Vladimir Marianov. Location models for emergency service applications. In Rajan Batta and Jiming Peng, editors, Leading Developments from INFORMS Communities, Tutorials in Operations Research, pages 237--262. INFORMS, 2017. [ DOI<http://dx.doi.org/10.1287/educ.2017.0172> ]
[14] Luisa I. Martínez-Merino, Maria Albareda-Sambola, and Antonio M. Rodríguez-Chía. The probabilistic p-center problem: Planning service for potential customers. European Journal of Operational Research, 262(2):509--520, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.03.043> ]
[15] Sara Martins, Pedro Amorim, Gonçalo Figueira, and Bernardo Almada-Lobo. An optimization-simulation approach to the network redesign problem of pharmaceutical wholesalers. Computers & Industrial Engineering, 106:315--328, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.01.026> ]
[16] Annalisa Massaccesi, Edouard Oudet, and Bozhidar Velichkov. Numerical calibration of Steiner trees. Applied Mathematics & Optimization, 79(1):69--86, 2017. [ DOI<http://dx.doi.org/10.1007/s00245-017-9421-5> ]
[17] Dragan Matic, Jozef Kratica, and Z. Maksimovic. Solving the minimum edge-dilation k-center problem by genetic algorithms. Computers & Industrial Engineering, 113:282--293, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.09.029> ]
[18] Vinícius R. Máximo, Mariá C.V. Nascimento, and André C.P.L.F. Carvalho. Intelligent-guided adaptive search for the maximum covering location problem. Computers & Operations Research, 78:129--137, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.08.018> ]
[19] Lili Mei, Deshi Ye, and Yong Zhang. Approximation strategy-proof mechanisms for obnoxious facility location on a line. Journal of Combinatorial Optimization, 36(2):549--571, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-016-0105-x> ]
[20] Luis A.A. Meira, Flávio K. Miyazawa, and Lehilton L.C. Pedrosa. Clustering through continuous facility location problems. Theoretical Computer Science, 657:137--145, 2017. [ DOI<http://dx.doi.org/10.1016/j.tcs.2016.10.001> ]
[21] Merve Meraklı and Hande Yaman. A capacitated hub location problem under hose demand uncertainty. Computers & Operations Research, 88:58--70, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.06.011> ]
[22] Marco A. Miranda-Ackerman, Catherine Azzaro-Pantel, and Alberto A. Aguilar-Lasserre. A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster. Computers & Industrial Engineering, 109:369--389, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.031> ]
[23] Stefan Mišković. A VNS-LP algorithm for the robust dynamic maximal covering location problem. OR Spectrum, 39(4):1011--1033, 2017. [ DOI<http://dx.doi.org/10.1007/s00291-017-0482-2> ]
[24] Faeghe Mohammaddust, Shabnam Rezapour, Reza Zanjirani Farahani, Mohammad Mofidfar, and Alex Hill. Developing lean and responsive supply chains: A robust model for alternative risk mitigation strategies in supply chain designs. International Journal of Production Economics, 183:632--653, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2015.09.012> ]
[25] Ali Mohammadi, Abbas Abbasi, Moslem Alimohammadlou, Mahmood Eghtesadifard, and Mojtaba Khalifeh. Optimal design of a multi-echelon supply chain in a system thinking framework: An integrated financial-operational approach. Computers & Industrial Engineering, 114:297--315, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.10.019> ]
[26] MirMohammad Musavi and Ali Bozorgi-Amiri. A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Computers & Industrial Engineering, 113:766--778, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.07.039> ]
[27] Hideaki Nakao, Siqian Shen, and Zhihao Chen. Network design in scarce data environment using moment-based distributionally robust optimization. Computers & Operations Research, 88:44--57, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.07.002> ]
[28] Nguyen Mau Nam, R. Blake Rector, and Daniel Giles. Minimizing differences of convex functions with applications to facility location and clustering. Journal of Optimization Theory and Applications, 173(1):255--278, 2017. [ DOI<http://dx.doi.org/10.1007/s10957-017-1075-6> ]
[29] Arman Nedjati, Gokhan Izbirak, and Jamal Arkat. Bi-objective covering tour location routing problem with replenishment at intermediate depots: Formulation and meta-heuristics. Computers & Industrial Engineering, 110:191--206, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.06.004> ]
[30] Kien Trung Nguyen. The inverse 1-center problem on cycles with variable edge lengths. Central European Journal of Operations Research, 27(1):263--274, 2017. [ DOI<http://dx.doi.org/10.1007/s10100-017-0509-4> ]
[31] S. Nobakhtian and A. Raeisi Dehkordi. An algorithm for generalized constrained multi-source Weber problem with demand substations. 4OR, 16(4):343--377, 2017. [ DOI<http://dx.doi.org/10.1007/s10288-017-0366-y> ]
[32] Jeremy North and Fred L. Miller. Facility location using GIS enriched demographic and lifestyle data for a traveling entertainment troupe in Bavaria, Germany. Decision Support Systems, 99:30--36, 2017. [ DOI<http://dx.doi.org/10.1016/j.dss.2017.05.007> ]
[33] Matías Núñez and Marco Scarsini. Large spatial competition. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 225--246. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_10> ]
[34] Gerald L. Orick, Kenneth Stephenson, and Charles Collins. A linearized circle packing algorithm. Computational Geometry, 64:13--29, 2017. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2017.03.002> ]
[35] Javier Arturo Orjuela-Castro, Lizeth Andrea Sanabria-Coronado, and Andrés Mauricio Peralta-Lozano. Coupling facility location models in the supply chain of perishable fruits. Research in Transportation Business & Management, 24:73--80, 2017. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2017.08.002> ]
[36] Camilo Ortiz-Astorquiza, Ivan Contreras, and Gilbert Laporte. Formulations and approximation algorithms for multilevel uncapacitated facility location. INFORMS Journal on Computing, 29(4):767--779, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0757> ]
[37] Eren Özceylan, Neslihan Demirel, Cihan Çetinkaya, and Eray Demirel. A closed-loop supply chain network design for automotive industry in Turkey. Computers & Industrial Engineering, 113:727--745, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.12.022> ]
[38] Osman Palanci and S. Zeynep Alparslan Gök. Facility location situations and related games in cooperation. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 247--260. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_11> ]
[39] P.A. Panov. Nash equilibria in the the facility location problem with externalities. Journal of the New Economic Association, 33(1):28--42, 2017. [ DOI<http://dx.doi.org/10.31737/2221-2264-2017-33-1-2> ]
[40] Anubhuti Parajuli, Onur Kuzgunkaya, and Navneet Vidyarthi. Responsive contingency planning of capacitated supply networks under disruption risks. Transportation Research Part E: Logistics and Transportation Review, 102:13--37, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.03.010> ]
[41] Chung Park and So Young Sohn. An optimization approach for the placement of bicycle-sharing stations to reduce short car trips: An application to the city of Seoul. Transportation Research Part A: Policy and Practice, 105:154--166, 2017. [ DOI<http://dx.doi.org/10.1016/j.tra.2017.08.019> ]
[42] Stefano Patrí and Armando Sacco. Sequential entry in Hotelling model with location costs: A three-firm case. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 261--272. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_12> ]
[43] Nicholas R. Paul, Brian J. Lunday, and Sarah G. Nurre. A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities. Omega, 66:147--158, 2017. [ DOI<http://dx.doi.org/10.1016/j.omega.2016.02.006> ]
[44] Mercedes Pelegrín and Blas Pelegrín. Nash equilibria in location games on a network. OR Spectrum, 39(3):775--791, 2017. [ DOI<http://dx.doi.org/10.1007/s00291-017-0472-4> ]
[45] Blas Pelegrín, Pascual Fernández, Juan Diego Pelegrín, and María Dolores García. Threshold distance versus side payment to reduce the cannibalization effect in retail chain expansion. IMA Journal of Management Mathematics, 30(1):105--123, 2017. [ DOI<http://dx.doi.org/10.1093/imaman/dpx011> ]
[46] Blas Pelegrı́n, Pascual Fernández, and Maria D. Garcı́a. Nash equilibria in network facility location under delivered prices. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 273--292. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_13> ]
[47] Francisco Pérez-Galarce, Linda J. Canales, Claudio Vergara, and Alfredo Candia-Véjar. An optimization model for the location of disaster refuges. Socio-Economic Planning Sciences, 59:56--66, 2017. [ DOI<http://dx.doi.org/10.1016/j.seps.2016.12.001> ]
[48] Nicholas A Phelps and Andrew M Wood. The business of location: site selection consultants and the mobilisation of knowledge in the location decision. Journal of Economic Geography, 18(5):1023--1044, 2017. [ DOI<http://dx.doi.org/10.1093/jeg/lbx016> ]
[49] Phan Nguyen Ky Phuc, Vincent F. Yu, and Yu-Chung Tsao. Optimizing fuzzy reverse supply chain for end-of-life vehicles. Computers & Industrial Engineering, 113:757--765, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.11.007> ]
[50] Daniel Porumbel and François Clautiaux. Constraint aggregation in column generation models for resource-constrained covering problems. INFORMS Journal on Computing, 29(1):170--184, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2016.0718> ]
[51] Justo Puerto. Sharing costs in some distinguished location problems. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 293--327. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_14> ]
1
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Dear fellow Locater,
You will find below my summer collection of references for August 2026.
It is subdivided into the modest 29 most recent references from 2023-2026 (midsummer is also quiet on the publication front) and 71 earlier ones all of 2017.
The attached BibTeX file contains as usual the full 100 item August collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] Anastasios Zachos. A property of the Fermat-Torricelli point for tetrahedra and a new characterization for isosceles tetrahedra. Journal for Geometry and Graphics, 27(2):187--193, 2023. [ .pdf<https://www.heldermann-verlag.de/jgg/jgg27/j27h2zach.pdf> ]
[2] Ali Abdi Seyedkolaei. Fuzzy logic-driven multi-criteria decision-making for multi-sink placement in WSNs. Journal of the Operational Research Society, 77(8):2235--2257, 2025. [ DOI<http://dx.doi.org/10.1080/01605682.2025.2551594> ]
[3] Onur Derse and Tom Van Woensel. The two-echelon location-routing model with multi-commodity, automated delivery systems and integrating people and freight transportation. Central European Journal of Operations Research, 34(3):871--897, 2025. [ DOI<http://dx.doi.org/10.1007/s10100-025-01010-w> ]
[4] Vatsalya Rajaram and Abhishek Sharma. A bi-objective optimization problem considering economic cost and carbon emissions in a closed-loop supply chain with commercial product returns. Asia-Pacific Journal of Operational Research, 43(04):2550042, 2025. [ DOI<http://dx.doi.org/10.1142/s0217595925500423> ]
[5] Šárka Štádlerová, Peter Schütz, Ivar Refsdal, Tobias Spinnangr Sindre, and František Kolovský. Solving a multi-horizon stochastic facility location problem with capacity expansion. Computational Management Science, 23(1):6, 2025. [ DOI<http://dx.doi.org/10.1007/s10287-025-00550-5> ]
[6] Haifeng Zhang, Jian‐Cai Wang, and Yuan Gao. Two‐stage adaptive robust hub location problem under demand uncertainty. Naval Research Logistics (NRL), 73(5):784--809, 2025. [ DOI<http://dx.doi.org/10.1002/nav.70043> ]
[7] Jie Chen, Ning Zhu, Hao Fu, and William H.K. Lam. Drone pre-positioning for cardiac arrest response : A feature-driven distributionally robust chance constrained programming. Transportation Research Part B: Methodological, 211:103525, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103525> ]
[8] Derya Dinler. Exact and heuristic methods for the uncapacitated single allocation planar hub location problem with service-level considerations. Computers & Industrial Engineering, 219:112209, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112209> ]
[9] Wenxiu Feng, Antonio Alcántara, and Carlos Ruiz. Risk-averse wind farms placement via quantile constraint learning. Computers & Operations Research, 194:107584, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107584> ]
[10] Elena Fernández and Nicolás Zerega. A strong formulation for multiple allocation hub location based on supermodular inequalities. Computers & Operations Research, 194:107585, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107585> ]
[11] Elisabeth Gaar and Markus Sinnl. A note on the maximal covering location problem with customer preference ordering. Computers & Operations Research, 194:107594, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107594> ]
[12] Zhifeng Guo, Jesse R. O’Hanley, Stuart Gibson, and Maria Paola Scaparra. A p-median based approach to constrained clustering. Annals of Operations Research, 362(1-3):197--218, 2026. [ DOI<http://dx.doi.org/10.1007/s10479-026-07259-x> ]
[13] Ali Heidari, Mohammad Khalilzadeh, Fariborz Jolai, and Matineh Ziari. A multi-objective mathematical model for hub location-allocation with inspection under uncertainty: a Benders decomposition approach. Transportation Research Interdisciplinary Perspectives, 38:102112, 2026. [ DOI<http://dx.doi.org/10.1016/j.trip.2026.102112> ]
[14] Keita Imamura and Yuki Oyama. Optimizing loading space locations for walkable city centers. Transportation Research Part A: Policy and Practice, 211:105112, 2026. [ DOI<http://dx.doi.org/10.1016/j.tra.2026.105112> ]
[15] Gwang Kim, Yoonjea Jeong, and Youngchul Shin. Robust skyport location and network design for UAM systems under aircraft failures: A column-and-constraint generation approach. Transportation Research Part B: Methodological, 211:103530, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103530> ]
[16] Yash Kumar, Raghu Bollapragada, and Benjamin D. Leibowicz. Efficient mathematical programming formulation and algorithmic framework for optimal camera placement. Computers & Operations Research, 194:107541, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107541> ]
[17] Xiang Li, Jiayi Yu, Bowen Zhang, Francisco Saldanha-da Gama, and Ziyan Feng. Multi-stage facility location and transshipment design for coal railway transport systems: A LLM-augmented optimization approach. Computers & Industrial Engineering, 219:112174, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112174> ]
[18] Malgorzata Miklas-Kalczynska and Zvi Drezner. Analyzing location models by the maximum possible value of perfect information. Computational Management Science, 23(1):15, 2026. [ DOI<http://dx.doi.org/10.1007/s10287-026-00565-6> ]
[19] Mohammad Sadegh Mohammad Beygi and Yousef Shafahi. Optimization of active sensors location for origin-destination matrix observation considering user equilibrium. Transportation Research Interdisciplinary Perspectives, 38:102068, 2026. [ DOI<http://dx.doi.org/10.1016/j.trip.2026.102068> ]
[20] Xiyuan Ren and Joseph Y.J. Chow. A data fusion approach for mobility hub impact assessment and location selection: Integrating hub usage data into a large-scale mode choice model. Transportation Research Part A: Policy and Practice, 211:105138, 2026. [ DOI<http://dx.doi.org/10.1016/j.tra.2026.105138> ]
[21] Ong Andre Wahyu Riyanto, Budi Santosa, and Nurhadi Siswanto. Wind farm layout optimization using ant colony optimization for minimizing cost of energy. Algorithms, 19(7):544, 2026. [ DOI<http://dx.doi.org/10.3390/a19070544> ]
[22] Huangrong Sun, Xian Yu, and Güzin Bayraksan. Contextual stochastic optimization for determining electric vehicle charging station locations with decision-dependent demand learning. Transportation Research Part B: Methodological, 211:103524, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103524> ]
[23] Tanu Tyagi, Abhinav Goel, and Anand Chauhan. A closed-loop supply chain model for additive manufacturing: Balancing economic, environmental, and social objectives. Computers & Industrial Engineering, 219:112198, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112198> ]
[24] Murali Krishna Vedula, Venkata Ratnam T, and Pallam Setty S. Hybrid simulation-based multi-objective optimization for energy-efficient sensor deployment and auv path planning in underwater wireless sensor networks. Simulation Modelling Practice and Theory, 151:103314, 2026. [ DOI<http://dx.doi.org/10.1016/j.simpat.2026.103314> ]
[25] Tao Wu. Clustering-driven matheuristic for profit-oriented hub location problem with origin and destination assignments. Computers & Operations Research, 194:107582, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107582> ]
[26] Vida Zamanifarizhandi and Joni Virta. Metric Oja depth, new statistical tool for estimating the most central objects. Computational Statistics & Data Analysis, 224:108447, 2026. [ DOI<http://dx.doi.org/10.1016/j.csda.2026.108447> ]
[27] Kang Zhang and Tongjun Sun. Numerical simulation for the well location optimization problem in petroleum reservoirs using a black-oil model and the finite difference method. Computers & Mathematics with Applications, 217:470--493, 2026. [ DOI<http://dx.doi.org/10.1016/j.camwa.2026.07.001> ]
[28] Haifeng Zhang, Jian-Cai Wang, and Yuan Gao. Double-layer Benders decomposition for large-scale robust uncapacitated hub location. Computers & Operations Research, 194:107532, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107532> ]
[29] Xiaojin Zheng, Xintao Shi, Chenxu Li, Yanxia Zhang, and Shengkun Qin. Stochastic autonomous vehicle-assisted two-echelon location-routing problem: A logic-based Benders decomposition approach. Computers & Operations Research, 194:107558, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107558> ]
%%%%%%%%% OLDER %%%%%%%%%%%%%
[1] A.I. Erzin, N. Mladenovic, and R.V. Plotnikov. Variable neighborhood search variants for min-power symmetric connectivity problem. Computers & Operations Research, 78:557--563, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.05.010> ]
[2] Laureano F. Escudero and Celeste Pizarro Romero. On solving a large-scale problem on facility location and customer assignment with interaction costs along a time horizon. TOP, 25(3):601--622, 2017. [ DOI<http://dx.doi.org/10.1007/s11750-017-0461-4> ]
[3] Majid Eskandarpour, Pierre Dejax, and Olivier Péton. A large neighborhood search heuristic for supply chain network design. Computers & Operations Research, 80:23--37, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.11.012> ]
[4] Roghayeh Etemad and Behrooz Alizadeh. Reverse selective obnoxious center location problems on tree graphs. Mathematical Methods of Operations Research, 87(3):431--450, 2017. [ DOI<http://dx.doi.org/10.1007/s00186-017-0624-y> ]
[5] Isaac F. Fernandes, Daniel Aloise, Dario J. Aloise, and Thiago P. Jeronimo. A polynomial-time algorithm for the discrete facility location problem with limited distances and capacity constraints. Brazilian Journal of Operations & Production Management, 14(2):136--144, 2017. [ DOI<http://dx.doi.org/10.14488/bjopm.2017.v14.n2.a1> ]
[6] Kaveh Fahimi, Seyed Mohammad Seyedhosseini, and Ahmad Makui. Simultaneous competitive supply chain network design with continuous attractiveness variables. Computers & Industrial Engineering, 107:235--250, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.03.020> ]
[7] Behnam Fahimnia, Armin Jabbarzadeh, Ali Ghavamifar, and Michael Bell. Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics, 183:700--709, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2015.11.007> ]
[8] Maryam Farahani, Hassan Shavandi, and Donya Rahmani. A location-inventory model considering a strategy to mitigate disruption risk in supply chain by substitutable products. Computers & Industrial Engineering, 108:213--224, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.032> ]
[9] Caleb C. Fast and Illya V. Hicks. A branch decomposition algorithm for the p-median problem. INFORMS Journal on Computing, 29(3):474--488, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2016.0743> ]
[10] Mahmudur Rahman Fatmi, Subeh Chowdhury, and Muhammad Ahsanul Habib. Life history-oriented residential location choice model: A stress-based two-tier panel modeling approach. Transportation Research Part A: Policy and Practice, 104:293--307, 2017. [ DOI<http://dx.doi.org/10.1016/j.tra.2017.06.006> ]
[11] Mohamadreza Fazli-Khalaf, Soheyl Khalilpourazari, and Mohammad Mohammadi. Mixed robust possibilistic flexible chance constraint optimization model for emergency blood supply chain network design. Annals of Operations Research, 283(1–2):1079--1109, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2729-3> ]
[12] Itai Feigenbaum, Jay Sethuraman, and Chun Ye. Approximately optimal mechanisms for strategyproof facility location: Minimizing Lp norm of costs. Mathematics of Operations Research, 42(2):434--447, 2017. [ DOI<http://dx.doi.org/10.1287/moor.2016.0810> ]
[13] Pascual Fernández, Blas Pelegrín, Algirdas Lančinskas, and Julius Žilinskas. New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. Computers & Operations Research, 79:12--18, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.10.002> ]
[14] José Fernández, Boglárka G. Tóth, Juana L. Redondo, Pilar M. Ortigosa, and Aránzazu Gila Arrondo. A planar single-facility competitive location and design problem under the multi-deterministic choice rule. Computers & Operations Research, 78:305--315, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.09.019> ]
[15] Matteo Fischetti, Ivana Ljubić, and Markus Sinnl. Redesigning Benders decomposition for large-scale facility location. Management Science, 63(7):2146--2162, 2017. [ DOI<http://dx.doi.org/10.1287/mnsc.2016.2461> ]
[16] Vito Fragnelli, Stefano Gagliardo, and Fabio Gastaldi. A game theoretic approach to an emergency units location problem. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 171--191. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_8> ]
[17] Anna Franceschetti, Ola Jabali, and Gilbert Laporte. Continuous approximation models in freight distribution management. TOP, 25(3):413--433, 2017. [ DOI<http://dx.doi.org/10.1007/s11750-017-0456-1> ]
[18] Anders Fredriksson. Location-allocation of public services – citizen access, transparency and measurement. a method and evidence from Brazil and Sweden. Socio-Economic Planning Sciences, 59:1--12, 2017. [ DOI<http://dx.doi.org/10.1016/j.seps.2016.09.008> ]
[19] Chenyi Fu, Ning Zhu, and Shoufeng Ma. A stochastic program approach for path reconstruction oriented sensor location model. Transportation Research Part B: Methodological, 102:210--237, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.05.013> ]
[20] Takuro Fukunaga, Shuichi Hirahara, and Hiyori Yoshikawa. Virtual machine placement for minimizing connection cost in data center networks. Discrete Optimization, 26:183--198, 2017. [ DOI<http://dx.doi.org/10.1016/j.disopt.2017.05.004> ]
[21] Jesus Garcia-Diaz, Jairo Sanchez-Hernandez, Ricardo Menchaca-Mendez, and Rolando Menchaca-Mendez. When a worse approximation factor gives better performance: a 3-approximation algorithm for the vertex k-center problem. Journal of Heuristics, 23(5):349--366, 2017. [ DOI<http://dx.doi.org/10.1007/s10732-017-9345-x> ]
[22] Bernard Gendron, Paul-Virak Khuong, and Frédéric Semet. Comparison of formulations for the two-level uncapacitated facility location problem with single assignment constraints. Computers & Operations Research, 86:86--93, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.02.020> ]
[23] Kagan Gokbayrak and Ayse Selin Kocaman. A distance-limited continuous location-allocation problem for spatial planning of decentralized systems. Computers & Operations Research, 88:15--29, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.06.013> ]
[24] Mehdi Golpayegani, Jafar Fathali, and Haleh Moradi. A particle swarm optimization method for semi-obnoxious line location problem with rectilinear norm. Computers & Industrial Engineering, 109:71--78, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.044> ]
[25] Alexandre Domingues Gonçalves, Artur Alves Pessoa, Cristiana Bentes, Ricardo Farias, and Lúcia Maria de A. Drummond. A graphics processing unit algorithm to solve the quadratic assignment problem using level-2 reformulation-linearization technique. INFORMS Journal on Computing, 29(4):676--687, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0754> ]
[26] Luis Gouveia and Markus Leitner. Design of survivable networks with vulnerability constraints. European Journal of Operational Research, 258(1):89--103, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.09.003> ]
[27] Kannan Govindan and Mohammad Fattahi. Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain. International Journal of Production Economics, 183:680--699, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2015.09.033> ]
[28] Kannan Govindan, Mohammad Fattahi, and Esmaeil Keyvanshokooh. Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1):108--141, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.04.009> ]
[29] Sanja Grohmann, Dragan Urošević, Emilio Carrizosa, and Nenad Mladenović. Solving multifacility huff location models on networks using metaheuristic and exact approaches. Computers & Operations Research, 78:537--546, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.03.005> ]
[30] Jianquan Guo, Xinyue Wang, Siyuan Fan, and Mitsuo Gen. Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food e-commerce enterprises. Computers & Industrial Engineering, 106:351--360, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.02.002> ]
[31] Peng Guo, Wenming Cheng, and Yi Wang. Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problems. Expert Systems with Applications, 71:57--68, 2017. [ DOI<http://dx.doi.org/10.1016/j.eswa.2016.11.025> ]
[32] William W. Hager, James T. Hungerford, and Ilya Safro. A multilevel bilinear programming algorithm for the vertex separator problem. Computational Optimization and Applications, 69(1):189--223, 2017. [ DOI<http://dx.doi.org/10.1007/s10589-017-9945-2> ]
[33] Mohammad Reza Hamidi, Mohammad Reza Gholamian, Kamran Shahanaghi, and Arash Yavari. Reliable warehouse location-network design problem under intentional disruption. Computers & Industrial Engineering, 113:123--134, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.09.012> ]
[34] Ahmed W A Hammad, Ali Akbarnezhad, and David Rey. Sustainable urban facility location: Minimising noise pollution and network congestion. Transportation Research Part E: Logistics and Transportation Review, 107:38--59, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.09.005> ]
[35] Shuihua Han, Yue Jiang, Ling Zhao, Stephen C. H. Leung, and Zongwei Luo. Weight reduction technology and supply chain network design under carbon emission restriction. Annals of Operations Research, 290(1–2):567--590, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2696-8> ]
[36] Lu Han, Dachuan Xu, Donglei Du, and Dongmei Zhang. A local search approximation algorithm for the uniform capacitated k-facility location problem. Journal of Combinatorial Optimization, 35(2):409--423, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0179-0> ]
[37] Refael Hassin, R. Ravi, and F. Sibel Salman. Multiple facility location on a network with linear reliability order of edges. Journal of Combinatorial Optimization, 34(3):931--955, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0121-5> ]
[38] Behnam Hatami and Hamid Zarrabi-Zadeh. A streaming algorithm for 2-center with outliers in high dimensions. Computational Geometry, 60:26--36, 2017. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2016.07.002> ]
[39] Yandong He, Xu Wang, Yun Lin, Fuli Zhou, and Lin Zhou. Sustainable decision making for joint distribution center location choice. Transportation Research Part D: Transport and Environment, 55:202--216, 2017. [ DOI<http://dx.doi.org/10.1016/j.trd.2017.07.001> ]
[40] Corinna Heßler and Kaouthar Deghdak. Discrete parallel machine makespan ScheLoc problem. Journal of Combinatorial Optimization, 34(4):1159--1186, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0138-9> ]
[41] Arild Hoff, Juanjo Peiró, Ángel Corberán, and Rafael Martí. Heuristics for the capacitated modular hub location problem. Computers & Operations Research, 86:94--109, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.05.004> ]
[42] M. Hosseini, S.A. MirHassani, and F. Hooshmand. Deviation-flow refueling location problem with capacitated facilities: Model and algorithm. Transportation Research Part D: Transport and Environment, 54:269--281, 2017. [ DOI<http://dx.doi.org/10.1016/j.trd.2017.05.015> ]
[43] Chenlian Hu, Xiao Liu, and Jie Lu. A bi-objective two-stage robust location model for waste-to-energy facilities under uncertainty. Decision Support Systems, 99:37--50, 2017. [ DOI<http://dx.doi.org/10.1016/j.dss.2017.05.009> ]
[44] Seong Wook Hwang, Sang Jin Kweon, and Jose A. Ventura. Locating alternative-fuel refueling stations on a multi-class vehicle transportation network. European Journal of Operational Research, 261(3):941--957, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.02.036> ]
[45] Chandra Ade Irawan, Said Salhi, Martino Luis, and Nader Azizi. The continuous single source location problem with capacity and zone-dependent fixed cost: Models and solution approaches. European Journal of Operational Research, 263(1):94--107, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.04.004> ]
[46] Chandra Ade Irawan, Xiang Song, Dylan Jones, and Negar Akbari. Layout optimisation for an installation port of an offshore wind farm. European Journal of Operational Research, 259(1):67--83, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.09.032> ]
[47] Gabriela Iriarte, Pablo Escalona, Alejandro Angulo, and Raul Stegmaier. A single-source Weber problem with continuous piecewise fixed cost. In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, pages 337--344. SCITEPRESS - Science and Technology Publications, 2017. [ DOI<http://dx.doi.org/10.5220/0006191003370344> ]
[48] Nahid Jafari, Bryan L. Nuse, Clinton T. Moore, Bistra Dilkina, and Jeffrey Hepinstall-Cymerman. Achieving full connectivity of sites in the multiperiod reserve network design problem. Computers & Operations Research, 81:119--127, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.12.017> ]
[49] Aldis Jakubovskis. Strategic facility location, capacity acquisition, and technology choice decisions under demand uncertainty: Robust vs. non-robust optimization approaches. European Journal of Operational Research, 260(3):1095--1104, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.01.017> ]
[50] Olivera Janković, Stefan Mišković, Zorica Stanimirović, and Raca Todosijević. Novel formulations and vns-based heuristics for single and multiple allocation p-hub maximal covering problems. Annals of Operations Research, 259(1–2):191--216, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2508-1> ]
[51] L’udmila Jánošíková, Miloš Herda, and Michal Haviar. Hybrid genetic algorithms with selective crossover for the capacitated p-median problem. Central European Journal of Operations Research, 25(3):651--664, 2017. [ DOI<http://dx.doi.org/10.1007/s10100-017-0471-1> ]
[52] Sanjay Dominik Jena, Jean-François Cordeau, and Bernard Gendron. Lagrangian heuristics for large-scale dynamic facility location with generalized modular capacities. INFORMS Journal on Computing, 29(3):388--404, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2016.0738> ]
[53] Peng Jia, Fahui Wang, and Imam M. Xierali. Using a Huff-based model to delineate hospital service areas. The Professional Geographer, 69(4):522--530, 2017. [ DOI<http://dx.doi.org/10.1080/00330124.2016.1266950> ]
[54] Yanjun Jiang, Dachuan Xu, Donglei Du, Chenchen Wu, and Dongmei Zhang. An approximation algorithm for soft capacitated k-facility location problem. Journal of Combinatorial Optimization, 35(2):493--511, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0192-3> ]
[55] Ezgi Karabulut, Necati Aras, and İ. Kuban Altınel. Optimal sensor deployment to increase the security of the maximal breach path in border surveillance. European Journal of Operational Research, 259(1):19--36, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.09.016> ]
[56] Zuhal Kartal, Servet Hasgul, and Andreas T. Ernst. Single allocation p-hub median location and routing problem with simultaneous pick-up and delivery. Transportation Research Part E: Logistics and Transportation Review, 108:141--159, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.10.004> ]
[57] Muhammed Emre Keskin. A column generation heuristic for optimal wireless sensor network design with mobile sinks. European Journal of Operational Research, 260(1):291--304, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.12.006> ]
[58] Mikko Ketokivi, Virpi Turkulainen, Timo Seppälä, Petri Rouvinen, and Jyrki Ali‐Yrkkö. Why locate manufacturing in a high‐cost country? A case study of 35 production location decisions. Journal of Operations Management, 49–51(1):20--30, 2017. [ DOI<http://dx.doi.org/10.1016/j.jom.2016.12.005> ]
[59] Soheyl Khalilpourazari and Alireza Arshadi Khamseh. Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application. Annals of Operations Research, 283(1–2):355--393, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2588-y> ]
[60] Shahrzad khosravi and Mohammad Reza Akbari Jokar. Facility and hub location model based on gravity rule. Computers & Industrial Engineering, 109:28--38, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.005> ]
[61] Hyun Kim and Megan S. Ryerson. The q-ad hoc hub location problem for multi-modal networks. Networks and Spatial Economics, 17(3):1015--1041, 2017. [ DOI<http://dx.doi.org/10.1007/s11067-017-9357-y> ]
[62] Jakob Krarup and Cornelis Roos. On the Fermat point of a triangle. Nieuw Archief voor Wiskunde, 5/18:280--286, 2017. [ .pdf<https://www.nieuwarchief.nl/serie5/pdf/naw5-2017-18-4-280.pdf> ]
[63] Nikolai Krivulin. Using tropical optimization to solve constrained minimax single-facility location problems with rectilinear distance. Computational Management Science, 14(4):493--518, 2017. [ DOI<http://dx.doi.org/10.1007/s10287-017-0289-2> ]
[64] Alan Kuhnle, Xiang Li, J. David Smith, and My T. Thai. Online set multicover algorithms for dynamic D2D communications. Journal of Combinatorial Optimization, 34(4):1237--1264, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0144-y> ]
[65] Martine Labbé, Diego Ponce, and Justo Puerto. A comparative study of formulations and solution methods for the discrete ordered p-median problem. Computers & Operations Research, 78:230--242, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.06.004> ]
[66] Chungmok Lee and Jinil Han. Benders-and-price approach for electric vehicle charging station location problem under probabilistic travel range. Transportation Research Part B: Methodological, 106:130--152, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.10.011> ]
[67] Seungrae Lee, Seung Jae Park, and Sridhar Seshadri. Plant location and inventory level decisions in global supply chains: Evidence from Korean firms. European Journal of Operational Research, 262(1):163--179, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.03.044> ]
[68] Euiwoong Lee, Melanie Schmidt, and John Wright. Improved and simplified inapproximability for k-means. Information Processing Letters, 120:40--43, 2017. [ DOI<http://dx.doi.org/10.1016/j.ipl.2016.11.009> ]
[69] Håkon Leknes, Eirik Skorge Aartun, Henrik Andersson, Marielle Christiansen, and Tobias Andersson Granberg. Strategic ambulance location for heterogeneous regions. European Journal of Operational Research, 260(1):122--133, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.12.020> ]
[70] Xiangyong Li and Y.P. Aneja. Regenerator location problem: Polyhedral study and effective branch-and-cut algorithms. European Journal of Operational Research, 257(1):25--40, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.07.032> ]
[71] Ran Li and Daoqin Tong. Incorporating activity space and trip chaining into facility siting for accessibility maximization. Socio-Economic Planning Sciences, 60:1--14, 2017. [ DOI<http://dx.doi.org/10.1016/j.seps.2017.01.007> ]
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Dear Location community,
I'm very happy to let you know that we finally have the group photo from ISOLDE I, held in April 1978 in Banff, Canada. The photo is attached and can also be found here: https://uwaterloo.ca/isolde-conference/isolde-i
I sincerely thank Jim Morris for editing the photo and sending it my way.
I created the ISOLDE Conference website (https://uwaterloo.ca/isolde-conference/) after ISOLDE XII, which was held in Japan in 2012. Fourteen years later, I'm very happy to share that we now have the complete collection of group photos from all sixteen ISOLDE conferences available on the website.
Over time, I also obtained old photo albums, thanks to Zvi Drezner and H.A. Eiselt, including albums containing hard copies of photos dating back to ISOLDE II in 1981. I scanned these photos myself and shared them with the location community through Facebook. At the time, Facebook albums were accessible even to people who did not have a Facebook account. It seems this is no longer the case, so we may need to find another repository to store and share the photos and transfer them over. Please get in touch with me if you would like to help with this initiative.
I look forward to seeing you at ISOLDE XVII, which will be held jointly with EWGLA XXXI on June 16-18, 2027, in Istanbul, Turkiye.
Best regards,
Sibel
Sibel Alumur Alev, Ph.D., P.L.Eng.
Professor
Associate Chair for Graduate Studies
Department of Management Science and Engineering
Faculty of Engineering | University of Waterloo
Office: CPH 4321 | 200 University Avenue West | Waterloo | Ontario | N2L 3G1 | Canada
Email: sibel.alumur(a)uwaterloo.ca<mailto:sibel.alumur@uwaterloo.ca>
1
0
Dear fellow Locater,
You will find below my collection of references for July 2026.
It is subdivided into the 36 most recent references from 2025-2026 and 64 earlier ones all of 2017.
The attached BibTeX file contains the full 100 item July collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] Adel Fahad Alrasheedi, Pratibha Rani, Arunodaya Raj Mishra, Dragan Pamucar, and Ahmad M. Alshamrani. Locations evaluation for autonomous vehicle parking lot via hybrid interval-valued fermatean fuzzy decision framework. Research in Transportation Business & Management, 67:101704, 2026. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2026.101704> ]
[2] Metehan Atay, Serap Ulusam Seckiner, and Yunus Eroglu. A stochastic green hub network design for low-cost carriers: Integrating seasonality and carbon emission costs for resilient operations. Research in Transportation Business & Management, 67:101670, 2026. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2026.101670> ]
[3] Omar Boussouf, Amina Lamghari, Issmail El Hallaoui, Mayssoun Messaoudi, and Nizar El Hachemi. A two-stage stochastic approach to location, production, and inventory planning with demand uncertainty. Socio-Economic Planning Sciences, 105:102490, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102490> ]
[4] Fabio Camilli, Adriano Festa, and Luciano Marzufero. A network model for urban planning. Journal of Optimization Theory and Applications, 209(1):33, 2026. [ DOI<http://dx.doi.org/10.1007/s10957-026-02949-9> ]
[5] José-Miguel Díaz-Báñez, Ruy Fabila-Monroy, José-Manuel Higes-López, Nestaly Marín, Miguel-Angel Pérez-Cutiño, and Pablo Pérez-Lantero. The euclidean k-matching problem is NP-hard. Computational Geometry, 135:102267, 2026. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2026.102267> ]
[6] Yihan Gao and Wei Liu. Robust planning for bus fleet electrification and charging facility deployment. Transportation Research Part E: Logistics and Transportation Review, 213:104970, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104970> ]
[7] Yang Gao, Heng-Qing Ye, and Zhili Zhou. UAV charging dock location and patrol path planning under epistemic uncertainty using distributed reinforcement learning. Transportation Research Part E: Logistics and Transportation Review, 212:104928, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104928> ]
[8] Siyu Guo, Tao Wang, and Thibaud Monteiro. A two-stage robust approach for multi-echelon facility location in cross-border logistics under demand uncertainty. Computers & Industrial Engineering, 218:112126, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112126> ]
[9] Florentina Hager and Melanie Reuter-Oppermann. A stochastic tri-level interdiction model for relief train location and infrastructure protection. Transportation Research Part E: Logistics and Transportation Review, 213:104963, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104963> ]
[10] Yueying Huo, Huijuan Zhou, Feng Hao, Man Zhang, and Yachao Liu. A method for determining pickup and delivery locations of intercity customized bus based on passenger demand and POIs. Multimodal Transportation, 5(2):100270, 2026. [ DOI<http://dx.doi.org/10.1016/j.multra.2025.100270> ]
[11] Aura Jalal, Yossiri Adulyasak, Raf Jans, Reinaldo Morabito, and Eli Toso. An integrated location-inventory-transportation problem under demand uncertainty. Transportation Research Part E: Logistics and Transportation Review, 213:104990, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104990> ]
[12] Eun Hak Lee and Euntak Lee. Electric vehicle charging station location selection using generative artificial intelligence. Transportation Research Part E: Logistics and Transportation Review, 213:104930, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104930> ]
[13] Jae Lee, Marcus Brazil, Charl Ras, and Doreen Thomas. An improved exact algorithm for the euclidean k-Steiner tree problem. Computational Geometry, 135:102268, 2026. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2026.102268> ]
[14] Bo Lu, Manni Cong, and Guowei Zhang. Drone pre-positioning and scheduling for emergency response in ports. Transportation Research Part E: Logistics and Transportation Review, 213:104937, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104937> ]
[15] Di Lv, Wei Zhang, Yuhao Wang, Weimin Zhen, and Kai Wang. Vertiport siting and UAM network design with eVTOL performance: An MILP for direct-transfer mode choice. Transportation Research Part E: Logistics and Transportation Review, 212:104903, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104903> ]
[16] Armin R. Mikler, Chetan Tiwari, and Murray Patterson. A spatial alignment problem. Algorithms, 19(6):475, 2026. [ DOI<http://dx.doi.org/10.3390/a19060475> ]
[17] Adeeba Naz, Sk.Md. Mashrur, Ismamul Hoque, and Moataz Mohamed. User-centric joint modeling of EV charging location preferences and charging needs. Transportation Research Part D: Transport and Environment, 157:105433, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105433> ]
[18] Joonghoo Park, San Kwon, Hyungjoo Cha, Meng Xu, and Taesu Cheong. Integrated optimization of facility location and routing for timely emergency disaster response. Transportation Research Part D: Transport and Environment, 158:105452, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105452> ]
[19] Shunshun Pei, Changhai Zhai, Jin Liu, and Chenyu Zhang. Seismic resilience enhancement of EMS system under hospital functional uncertainty: a multi-stage location-assignment-treatment stochastic programming approach. Transportation Research Part E: Logistics and Transportation Review, 213:104964, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104964> ]
[20] Javier Pereira, Pedro Contreras, Carla Taramasco, Rodrigo Figueroa, and Ricardo Gacitúa. A SMAA-based framework for robustness analysis in multi-criteria facility location under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 213:105002, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105002> ]
[21] Fadillah Ramadhan, Chandra Ade Irawan, Said Salhi, Antony Paulraj, and Zhao Cai. Sustainable shelters and hub locations for flood disasters: A multimodal transportation approach. Transportation Research Part D: Transport and Environment, 157:105447, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105447> ]
[22] Mahsa Sheikhihafshejani and Hector A. Vergara. Capacitated incomplete hub network design problem with link congestion. Transportation Research Part E: Logistics and Transportation Review, 212:104914, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104914> ]
[23] Jiawei Shi, Jiliu Li, and Zili Zhang. Enhancing healthcare of remote regions: Optimizing mobile healthcare units planning with intermediate depots. Socio-Economic Planning Sciences, 105:102491, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102491> ]
[24] Yusuke Takahashi and Hiroki Takahashi. Balancing profitability and resilience to earthquake-induced isolation: A multi-objective optimization for drone depot location. Socio-Economic Planning Sciences, 105:102482, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102482> ]
[25] Xiao Tang, Zhenlin Wei, Zihan Liu, Zhentao Dong, Helai Huang, and Baowen Li. Spatial relocation of logistics facilities in Beijing, China: Decoupling the influencing factors and unveiling the role of policy. Transportation Research Part E: Logistics and Transportation Review, 212:104961, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104961> ]
[26] Yong Wang, Jing Liu, Lu Zhen, Yuanhan Wei, and Shejun Deng. Two-echelon multi-depot location-routing problem with time windows and dynamic customer demands. Transportation Research Part E: Logistics and Transportation Review, 212:104941, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104941> ]
[27] Chenchun Wang, Xin Feng, and A. Addison Alford. Optimizing dual-doppler mobile radar deployment with an obstacle-aware backup coverage location model for strategic storm data collection. IEEE Transactions on Radar Systems, 4:841--854, 2026. [ DOI<http://dx.doi.org/10.1109/trs.2026.3682657> ]
[28] Lang Yang, Changan Ren, Zhangwei Yu, and Mengya Ma. Research on logistics distribution center location problem based on genetic variation firefly algorithm. Algorithms, 19(6):481, 2026. [ DOI<http://dx.doi.org/10.3390/a19060481> ]
[29] Murat Yesi?lkaya. Optimization models for medical waste management: Before and during COVID-19 pandemic. Computers & Industrial Engineering, 218:112068, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112068> ]
[30] Yaxi Zhang and Yankui Liu. Optimizing a new robust location-pricing problem in agricultural economy by customized bi-level algorithm. Socio-Economic Planning Sciences, 105:102466, 2026. [ DOI<http://dx.doi.org/10.1016/j.seps.2026.102466> ]
[31] Yifan Zhang, Ning Zhu, Chenyi Fu, and Jingwen Zhang. A roadside unit location problem under uncertainty in demand, migration, and processing. Transportation Research Part E: Logistics and Transportation Review, 213:105003, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105003> ]
[32] Lin Zhou, Roberto Baldacci, and Ayman R. Mohammed. Location-routing problem for robot deliveries with customer choices and hybrid facilities. Transportation Research Part E: Logistics and Transportation Review, 212:104889, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104889> ]
[33] Enrique García-Galán, Alberto Herrán, and J. Manuel Colmenar. An efficient variable neighborhood search approach for the facility location problem with the limited choice rule. International Transactions in Operational Research, 33(6):3905--3933, 2025. [ DOI<http://dx.doi.org/10.1111/itor.70069> ]
[34] Hanieh Shekarabi and Ashkan Mozdgir. Robust, resilient, and responsive food supply chain redesign considering uncertainty and pandemic disruptions. Annals of Operations Research, 361(3):1225--1268, 2025. [ DOI<http://dx.doi.org/10.1007/s10479-025-06465-3> ]
[35] Peng Wu, Shanxing Li, Xinyi Zhang, and Liping You. Resilient retailer facility planning: optimizing location and service quality amidst competitors' reactions. Annals of Operations Research, 361(3):1317--1344, 2025. [ DOI<http://dx.doi.org/10.1007/s10479-025-06601-z> ]
[36] Pengfei He, Jin-Kao Hao, and Qinghua Wu. A hybrid genetic algorithm with multi-population for capacitated location routing. INFORMS Journal on Computing, 38(3)::829--843, 2025. [ DOI<http://dx.doi.org/10.1287/ijoc.2023.0416> ]
%%%%%%%%% OLDER %%%%%%%%%%%%%
[1] Behrooz Alizadeh and Somayeh Bakhteh. A modified firefly algorithm for general inverse p-median location problems under different distance norms. OPSEARCH, 54(3):618--636, 2017. [ DOI<http://dx.doi.org/10.1007/s12597-016-0296-z> ]
[2] J. David Allen, Roger L. Tobin, and Anthony Calderan. Verizon optimizes work center locations to reduce installation and repair operations costs. Interfaces, 47(2):111--121, 2017. [ DOI<http://dx.doi.org/10.1287/inte.2016.0871> | .html<https://ideas.repec.org/a/inm/orinte/v47y2017i2p111-121.html> ]
[3] Shaghaf Alzorba, Christian Günther, Nicolae Popovici, and Christiane Tammer. A new algorithm for solving planar multiobjective location problems involving the manhattan norm. European Journal of Operational Research, 258(1):35--46, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.10.045> ]
[4] Zhazira Amirgaliyeva, Nenad Mladenovic, Raca Todosijevic, and Dragan Urosevic. Solving the maximum min-sum dispersion by alternating formulations of two different problems. European Journal of Operational Research, 260(2):444--459, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.12.039> ]
[5] Miguel F. Anjos and Manuel V.C. Vieira. Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions. European Journal of Operational Research, 261(1):1--16, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.01.049> ]
[6] Laura Anton-Sanchez, Concha Bielza, and Pedro Larrañaga. Network design through forests with degree- and role-constrained minimum spanning trees. Journal of Heuristics, 23(1):31--51, 2017. [ DOI<http://dx.doi.org/10.1007/s10732-017-9323-3> ]
[7] Oded Berman, Nima Sanajian, and Jiamin Wang. Location choice and risk attitude of a decision maker. Omega, 66:170--181, 2017. [ DOI<http://dx.doi.org/10.1016/j.omega.2016.03.002> ]
[8] André Berger, Alexander Grigoriev, Artem Panin, and Andrej Winokurow. Location, pricing and the problem of Apollonius. Optimization Letters, 11(8):1797--1805, 2017. [ DOI<http://dx.doi.org/10.1007/s11590-017-1159-0> ]
[9] Amy V. Benstead, Mark Stevenson, and Linda C. Hendry. Why and how do firms reshore? a contingency-based conceptual framework. Operations Management Research, 10(3-4):85--103, 2017. [ DOI<http://dx.doi.org/10.1007/s12063-017-0124-5> ]
[10] Serhat Baskaya, Mustafa Alp Ertem, and Serhan Duran. Pre-positioning of relief items in humanitarian logistics considering lateral transhipment opportunities. Socio-Economic Planning Sciences, 57:50--60, 2017. [ DOI<http://dx.doi.org/10.1016/j.seps.2016.09.001> ]
[11] Manish Bansal and Kiavash Kianfar. Planar maximum coverage location problem with partial coverage and rectangular demand and service zones. INFORMS Journal on Computing, 29(1):152--169, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2016.0722> ]
[12] Aritra Banik, Bhaswar B. Bhattacharya, Sandip Das, and Satyaki Mukherjee. The discrete Voronoi game in R2. Computational Geometry, 63:53--62, 2017. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2017.02.003> ]
[13] Bahareh Bahrami, Mohammad Ali Jabraeil Jamali, and Shahram Saeidi. A demand-based structure for the architecture of wireless networks on chip. Wireless Personal Communications, 96(1):455--473, 2017. [ DOI<http://dx.doi.org/10.1007/s11277-017-4179-2> ]
[14] Nader Azizi, Navneet Vidyarthi, and Satyaveer S. Chauhan. Modelling and analysis of hub-and-spoke networks under stochastic demand and congestion. Annals of Operations Research, 264(1-2):1--40, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2656-3> ]
[15] Nader Azizi. Managing facility disruption in hub-and-spoke networks: formulations and efficient solution methods. Annals of Operations Research, 272(1-2):159--185, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2517-0> ]
[16] Arsham Atashi Khoei, Haldun Süral, and Mustafa Kemal Tural. Time-dependent green Weber problem. Computers & Operations Research, 88:316--323, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.04.010> ]
[17] Ashwin Arulselvan, Mohsen Rezapour, and Wolfgang A. Welz. Exact approaches for designing multifacility buy-at-bulk networks. INFORMS Journal on Computing, 29(4):597--611, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0752> ]
[18] Necati Aras and Hande Küçükaydin. Bilevel models on the competitive facility location problem. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 1--19. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_1> ]
[19] Canser Bilir, Sule Onsel Ekici, and Fusun Ulengin. An integrated multi-objective supply chain network and competitive facility location model. Computers & Industrial Engineering, 108:136--148, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.020> ]
[20] Ahmad Biniaz, Paul Liu, Anil Maheshwari, and Michiel Smid. Approximation algorithms for the unit disk cover problem in 2D and 3D. Computational Geometry, 60:8--18, 2017. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2016.04.002> ]
[21] Nicholas T. Boardman, Brian J. Lunday, and Matthew J. Robbins. Heterogeneous surface-to-air missile defense battery location: a game theoretic approach. Journal of Heuristics, 23(6):417--447, 2017. [ DOI<http://dx.doi.org/10.1007/s10732-017-9350-0> ]
[22] Chawis Boonmee, Mikiharu Arimura, and Takumi Asada. Facility location optimization model for emergency humanitarian logistics. International Journal of Disaster Risk Reduction, 24:485--498, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijdrr.2017.01.017> ]
[23] Adel Bouchakhchoukha and Mhand Hifi. A hybrid descent method for the two-edge disjoint survivable network design problem with relays. Computers & Industrial Engineering, 112:645--653, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.12.039> ]
[24] Georg Brandstätter, Michael Kahr, and Markus Leitner. Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand. Transportation Research Part B: Methodological, 104:17--35, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.06.009> ]
[25] Jack Brimberg, Nenad Mladenovic, Raca Todosijevic, and Dragan Urosevic. Solving the capacitated clustering problem with variable neighborhood search. Annals of Operations Research, 272(1-2):289--321, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2601-5> ]
[26] Jack Brimberg, Zvi Drezner, Nenad Mladenovic, and Said Salhi. Using injection points in reformulation local search for solving continuous location problems. YUJOR, 27(3):291--300, 2017. [ DOI<http://dx.doi.org/10.2298/yjor160517018b> ]
[27] Rob A.C.M. Broekmeulen, Michael G. Sternbeck, Karel H. van Donselaar, and Heinrich Kuhn. Decision support for selecting the optimal product unpacking location in a retail supply chain. European Journal of Operational Research, 259(1):84--99, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.09.054> ]
[28] Luis Cadarso, Esteve Codina, Laureano F. Escudero, and Angel Marín. Rapid transit network design: considering recovery robustness and risk aversion measures. Transportation Research Procedia, 22:255--264, 2017. [ DOI<http://dx.doi.org/10.1016/j.trpro.2017.03.032> ]
[29] Linda Canales-Bustos, Ernesto Santibañez-González, and Alfredo Candia-Véjar. A multi-objective optimization model for the design of an effective decarbonized supply chain in mining. International Journal of Production Economics, 193:449--464, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2017.08.012> ]
[30] David Canca, Alicia De-Los-Santos, Gilbert Laporte, and Juan A. Mesa. An adaptive neighborhood search metaheuristic for the integrated railway rapid transit network design and line planning problem. Computers & Operations Research, 78:1--14, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.08.008> ]
[31] Héctor J. Carlo, Víctor David, and Gabriela S. Salvat-Dávila. Transportation-location problem with unknown number of facilities. Computers & Industrial Engineering, 112:212--220, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.08.003> ]
[32] Emilio Carrizosa, Marc Goerigk, and Anita Schöbel. A biobjective approach to recoverable robustness based on location planning. European Journal of Operational Research, 261(2):421--435, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.02.014> ]
[33] Félix Carvalho Rodrigues and Eduardo Candido Xavier. Non-cooperative capacitated facility location games. Information Processing Letters, 117:45--53, 2017. [ DOI<http://dx.doi.org/10.1016/j.ipl.2016.09.001> ]
[34] Martha-Selene Casas-Ramírez, José-Fernando Camacho-Vallejo, Juan A. Díaz, and Dolores E. Luna. A bi-level maximal covering location problem. Operational Research, 20(2):827--855, 2017. [ DOI<http://dx.doi.org/10.1007/s12351-017-0357-y> ]
[35] Matej Cebecauer and Lubos Buzna. A versatile adaptive aggregation framework for spatially large discrete location-allocation problems. Computers & Industrial Engineering, 111:364--380, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.07.022> ]
[36] Subhadip Chakrabarti and Robert P. Gilles. Partial cooperation in location choice: Salop's model with three firms. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 21--38. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_2> ]
[37] Ching-Lueh Chang. A lower bound for metric 1-median selection. Journal of Computer and System Sciences, 84:44--51, 2017. [ DOI<http://dx.doi.org/10.1016/j.jcss.2016.08.004> ]
[38] Ching-Lueh Chang. Metric 1-median selection: Query complexity vs. approximation ratio. ACM Transactions on Computation Theory, 9(4):1--23, 2017. [ DOI<http://dx.doi.org/10.1145/3154858> ]
[39] Manoj Changat, Shilpa Mohandas, Henry Martyn Mulder, Prasanth G. Narasimha-Shenoi, Robert C. Powers, and D. Jacob Wildstrom. Axiomatic characterization of the center function. the case of universal axioms. Discrete Applied Mathematics, 227:44--57, 2017. [ DOI<http://dx.doi.org/10.1016/j.dam.2017.04.011> ]
[40] Manoj Changat, Divya Sindhu Lekha, Shilpa Mohandas, Henry Martyn Mulder, and Ajitha R. Subhamathi. Axiomatic characterization of the median and antimedian function on a complete graph minus a matching. Discrete Applied Mathematics, 228:50--59, 2017. [ DOI<http://dx.doi.org/10.1016/j.dam.2016.04.013> ]
[41] Chen Chao, Tian Zhihui, and Yao Baozhen. Optimization of two-stage location-routing-inventory problem with time-windows in food distribution network. Annals of Operations Research, 273(1-2):111--134, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2514-3> ]
[42] Ada Che, Yipei Zhang, and Jianguang Feng. Bi-objective optimization for multi-floor facility layout problem with fixed inner configuration and room adjacency constraints. Computers & Industrial Engineering, 105:265--276, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.12.018> ]
[43] Jingxian Chen, Liang Liang, and Dong-Qing Yao. Pre-positioning of relief inventories for non-profit organizations: a newsvendor approach. Annals of Operations Research, 259(1-2):35--63, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2521-4> ]
[44] Victor Chepoi, Bertrand Estellon, and Guyslain Naves. Packing and covering with balls on Busemann surfaces. Discrete & Computational Geometry, 57(4):985--1011, 2017. [ DOI<http://dx.doi.org/10.1007/s00454-017-9872-0> ]
[45] Sin-Shuen Cheung and David P. Williamson. Greedy algorithms for the single-demand facility location problem. Operations Research Letters, 45(5):452--455, 2017. [ DOI<http://dx.doi.org/10.1016/j.orl.2017.07.002> ]
[46] Yen-I Chiang and Chang-Chun Lin. Compact model for the obnoxious p-median problem. American Journal of Operations Research, 07(06):348--355, 2017. [ DOI<http://dx.doi.org/10.4236/ajor.2017.76026> ]
[47] Serafino Cicerone, Gabriele Di Stefano, and Alfredo Navarra. Gathering of robots on meeting-points: feasibility and optimal resolution algorithms. Distributed Computing, 31(1):1--50, 2017. [ DOI<http://dx.doi.org/10.1007/s00446-017-0293-3> ]
[48] Isabel Correia and Teresa Melo. A multi-period facility location problem with modular capacity adjustments and flexible demand fulfillment. Computers & Industrial Engineering, 110:307--321, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.06.003> ]
[49] Carlos Cotta and José E. Gallardo. Metaheuristic approaches to the placement of suicide bomber detectors. Journal of Heuristics, 24(3):483--513, 2017. [ DOI<http://dx.doi.org/10.1007/s10732-017-9335-z> ]
[50] William Lee Croft, Wei Shi, Jörg-Rüdiger Sack, and Jean-Pierre Corriveau. Comparison of approaches of geographic partitioning for data anonymization. Journal of Geographical Systems, 19(3):221--248, 2017. [ DOI<http://dx.doi.org/10.1007/s10109-017-0251-4> ]
[51] Imma Curiel. A class of location games with type dependent facilities. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 39--52. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_3> ]
[52] Elia Daniele, Pierluigi De Paolis, Gian Luca Greco, and Alessandro d'Argenio. Location methods and Nash equilibria for experimental design in astrophysic and aerospace engineering. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 53--72. Springer International Publishing, 2017.
[53] Everton da Silveira Farias, Jing-Quan Li, Juan Parra Galvez, and Denis Borenstein. Simple heuristic for the strategic supply chain design of large-scale networks: A brazilian case study. Computers & Industrial Engineering, 113:746--756, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.07.017> ]
[54] Soheil Davari. The incremental cooperative design of preventive healthcare networks. Annals of Operations Research, 272(1-2):445--492, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2569-1> ]
[55] Nicholas Davey, Simon Dunstall, and Saman Halgamuge. Optimal road design through ecologically sensitive areas considering animal migration dynamics. Transportation Research Part C: Emerging Technologies, 77:478--494, 2017. [ DOI<http://dx.doi.org/10.1016/j.trc.2017.02.016> ]
[56] Harwin de Vries and Evelot Duijzer. Incorporating driving range variability in network design for refueling facilities. Omega, 69:102--114, 2017. [ DOI<http://dx.doi.org/10.1016/j.omega.2016.08.005> ]
[57] Balaram Dey, Bipradas Bairagi, Bijan Sarkar, and Subir Kumar Sanyal. Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers & Industrial Engineering, 105:101--122, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.12.025> ]
[58] Wei Ding and Ke Qiu. An FPTAS for generalized absolute 1-center problem in vertex-weighted graphs. Journal of Combinatorial Optimization, 34(4):1084--1095, 2017. [ DOI<http://dx.doi.org/10.1007/s10878-017-0130-4> ]
[59] Tammy Drezner and Zvi Drezner. Leader-follower models in facility location. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 73--104. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_5> ]
[60] Zvi Drezner and Pawel Kalczynski. The continuous grey pattern problem. Journal of the Operational Research Society, 68(5):469--483, 2017. [ DOI<http://dx.doi.org/10.1057/s41274-016-0023-4> ]
[61] Okan Dukkanci and Bahar Y. Kara. Routing and scheduling decisions in the hierarchical hub location problem. Computers & Operations Research, 85:45--57, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.03.013> ]
[62] Claudia D'Ambrosio, Giacomo Nannicini, and Giorgio Sartor. MILP models for the selection of a small set of well-distributed points. Operations Research Letters, 45(1):46--52, 2017. [ DOI<http://dx.doi.org/10.1016/j.orl.2016.11.004> ]
[63] H. A. Eiselt and Vladimir Marianov. Asymmetries in competitive location models on the line. In Lina Mallozzi, Egidio D'Amato, and Panos M. Pardalos, editors, Spatial Interaction Models: Facility Location Using Game Theory, pages 105--128. Springer International Publishing, 2017. [ DOI<http://dx.doi.org/10.1007/978-3-319-52654-6_6> ]
[64] Sahitya Elluru, Hardik Gupta, Harpreet Kaur, and Surya Prakash Singh. Proactive and reactive models for disaster resilient supply chain. Annals of Operations Research, 283(1-2):199--224, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2681-2> ]
1
0
Dear fellow Locater,
You will find below my collection of references for June 2026.
It is subdivided into the 39 most recent references from 2023-2026 on the one hand, and 61 earlier ones on the other hand
thereby terminating my 2018 harvest, and starting 2017 (going backwards, remember).
The attached BibTeX file contains the full 100 item June collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] Mohamed Alahyane, Zuqi Tang, and Abdelkader Benabou. Optimal sensor placement for electromagnetic problems: A PBDW-based approach with position constraints. Computers & Mathematics with Applications, 212:78--97, 2026. [ DOI<http://dx.doi.org/10.1016/j.camwa.2026.03.018> ]
[2] Santiago Álvarez Ossorio Martínez, Florian Dandl, Allister Loder, and Klaus Bogenberger. Congestion-aware pick-up and drop-off network design problem. Transportation Research Part C: Emerging Technologies, 189:105715, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105715> ]
[3] Felix Ayaburi, Yongchen Wu, Kevin Bamwisho, Bikram Panthee, Alexandra M. Newman, Hojun Choi, Corey Harper, and Amritanshu Pandey. A unified framework for siting level 2 electric vehicle charging infrastructure. Transportation Research Part D: Transport and Environment, 156:105333, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105333> ]
[4] Sonu Bai, Sumit Gupta, and Prashanta Majee. On some refined results for the generalized Fermat-Torricelli problem and the variational inequality problem. Journal of Computational and Applied Mathematics, 486:117651, 2026. [ DOI<http://dx.doi.org/10.1016/j.cam.2026.117651> ]
[5] Massimo Bertolini, Davide Castellano, and Davide Mezzogori. Joint optimisation of bin location, allocation, type selection, and collection frequency under stochastic waste generation. Computers & Industrial Engineering, 217:112057, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112057> ]
[6] Giuseppe Bruno, Antonio Diglio, Carmela Piccolo, and Eduardo Pipicelli. Designing parcel delivery areas under customer preferences for self-collection: A probabilistic districting approach. Transportation Research Part E: Logistics and Transportation Review, 211:104842, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104842> ]
[7] Rossana Cavagnini, Alberto Santini, Michael Schneider, and Murwan Siddig. Recent developments in location-routing problems. European Journal of Operational Research, 334(3):705--719, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.04.001> ]
[8] Zhanhong Cheng, Lingqian Hu, Yuheng Bu, Yuqi Zhou, and Shenhao Wang. Graph neural networks for residential location choice: Connection to classical logit models. Transportation Research Part B: Methodological, 209:103464, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103464> ]
[9] Lili Du, Yuqiang Ning, Jiahua Qiu, and Feiyang Kang. Robust electric vehicle charging station planning factoring traffic congestion dynamics adapting to steady and surging charging demand increase. Transportation Research Part B: Methodological, 209:103471, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103471> ]
[10] Üsame Ekici, Mehmet Emin Akay, and Sarbast Moslem. Determination of logistics center locations in Türkiye using AHP-based TOPSIS methods. Transportation Research Interdisciplinary Perspectives, 37:101967, 2026. [ DOI<http://dx.doi.org/10.1016/j.trip.2026.101967> ]
[11] Serena Fugaro and Antonino Sgalambro. Multi-objective facility location problems: Systematic literature review and research agenda. Computers & Industrial Engineering, 216:111994, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111994> ]
[12] Wentao Gao, Jihui Ma, Yanbo He, and Chunjiao Dong. An exact approach for the transit route network design problem. European Journal of Operational Research, 334(1):111--127, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.04.020> ]
[13] Asrat Gobachew, Diyar Altinses, Andreas Schwung, and Stefan Lier. A hybrid clustering–optimization framework for continuous hub location in drone delivery networks. Operations Research Perspectives, 16:100384, 2026. [ DOI<http://dx.doi.org/10.1016/j.orp.2026.100384> ]
[14] Rowan Hoogervorst, Evelien van der Hurk, and David Pisinger. Simulation-optimization approaches for the network immunization problem with quarantining. European Journal of Operational Research, 334(2):528--546, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.01.019> ]
[15] Haesol Im, Chan-Woo Yang, Moslem Noori, Dmitrii Dobrynin, Elisabetta Valiante, Giacomo Pedretti, Arne Heittmann, Thomas Van Vaerenbergh, Masoud Mohseni, John Paul Strachan, Dmitri Strukov, Raymond Beausoleil, and Ignacio Rozada. Hardware-compatible single-shot feasible-space heuristics for solving the quadratic assignment problem. Computers & Operations Research, 193:107483, 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107483> ]
[16] Leon Kellerhals and Jannik Peters. Proportional clustering, the β-plurality problem, and metric distortion. Operations Research Letters, 67:107460, 2026. [ DOI<http://dx.doi.org/10.1016/j.orl.2026.107460> ]
[17] Ali Keyvandarian, Mehrdad Pirnia, and Daniel Scott. Robust optimal design of sustainable aviation fuel supply chain. Computers & Industrial Engineering, 216:111929, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111929> ]
[18] R.J. Kuo, Andiny Trie Oktavia, Ferani E. Zulvia, and Budhi Sholeh Wibowo. Maximal covering location model using an improved multi-objective particle swarm optimization algorithm to locker location planning for city logistics system. Computers & Industrial Engineering, 217:112064, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112064> ]
[19] Michael W. Levin and David Rey. A spatial branch-and-price-and-cut algorithm for finding globally optimal solutions to the continuous network design problem. Transportation Research Part E: Logistics and Transportation Review, 211:104870, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104870> ]
[20] Iason Liagkas, Shiyue Zhao, and Neda Masoud. Behaviorally informed joint optimization of charger placement and dynamic spatio-temporal pricing for electric vehicle networks. Transportation Research Part B: Methodological, 209:103480, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103480> ]
[21] Zifan Li, Zhiyuan Yang, Shuaian Wang, and Lu Zhen. How to deploy battery swapping stations for electric vehicles. Transportation Research Part B: Methodological, 209:103484, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103484> ]
[22] Peisong Liu, Xiangpei Hu, and Chun Cheng. Drone station location and routing optimization for infrastructure inspection. European Journal of Operational Research, 334(1):285--300, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.04.046> ]
[23] Kunzhou Long, Feng Hu, Deming Li, and Xue Meng. A multi-objective programming model for fire station location under incomplete information environment. Operations Research Perspectives, 16:100388, 2026. [ DOI<http://dx.doi.org/10.1016/j.orp.2026.100388> ]
[24] Shinya Mizuno and Haruka Ohba. A novel disaster risk assessment framework based on Markov chain analysis of evacuation network structure and geometric coverage optimization. Operations Research Perspectives, 16:100381, 2026. [ DOI<http://dx.doi.org/10.1016/j.orp.2026.100381> ]
[25] Laura Palacios-Argüello, Juan C. Pina-Pardo, and Christian Clavijo López. Designing urban distribution networks with loading and unloading zones. Computers & Industrial Engineering, 216:111974, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111974> ]
[26] Marcella Papini, Su Dandan, and Lucy Dowdell. Sustainability strategies in location-routing: A comparison of electric and bi-objective CLRP formulations. Computers & Industrial Engineering, 217:112016, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112016> ]
[27] Zhi Pei, Chenxu Lou, Hanghang Zhu, and Haimin Lu. Distributionally robust facility location and transportation with drones under facility disruption and demand uncertainty. Computers & Industrial Engineering, 217:112023, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112023> ]
[28] Vibeke Hvidegaard Petersen, David Pisinger, and Magnus Stålhane. Optimization in offshore wind farms – a survey of problems, models, and solution approaches. European Journal of Operational Research, 334(2):351--376, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.03.002> ]
[29] Siyu Shao, Jie Lin, and Fangni Zhang. Service network design for a metro-based crowdsourced urban delivery system under demand and supply uncertainty. Transportation Research Part C: Emerging Technologies, 188:105695, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105695> ]
[30] Bruno Salezze Vieira, Glaydston Mattos Ribeiro, and Antônio Augusto Chaves. A bi-objective sub-path location model for the flow refuelling location problem. Expert Systems with Applications, 317:131856, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.131856> ]
[31] Le Xu, Yong Xu, Wei Wang, and Jiang Li. Research on emergency material warehouse location and inventory prepositioning planning for pre-disaster response. Computers & Industrial Engineering, 216:111962, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111962> ]
[32] Zhiyuan Yang, Lu Zhen, and Shuaian Wang. Integrated location-allocation-inventory optimization for offshore wind-to-hydrogen systems. Transportation Research Part B: Methodological, 210:103487, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103487> ]
[33] Dongmei Yu, Hongyan Li, Yifei Yuan, and Yiming Zhang. Optimizing emergency service facilities location-allocation decision under transportation network destruction uncertainty. Journal of Computational and Applied Mathematics, 486:117696, 2026. [ DOI<http://dx.doi.org/10.1016/j.cam.2026.117696> ]
[34] Zahra Zare, Levent Eriskin, and Mumtaz Karatas. Sustainable and smart urban air mobility: A semi-desirable hub location and sizing approach for vertiport planning. Computers & Industrial Engineering, 217:112027, 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.112027> ]
[35] Shivam Mishra, Krishnendu Shaw, and Nagesh Shukla. Integrating environmental, social and risk factors in lot-sizing and supply chain network design. Journal of the Operational Research Society, 77(6):1590--1623, 2025. [ DOI<http://dx.doi.org/10.1080/01605682.2025.2537887> ]
[36] Antonino Sgalambro, Serena Fugaro, and Filippo Santarelli. A soft-constrained multi-objective facility location approach for designing a network of household waste recycling centres in South Yorkshire. Journal of the Operational Research Society, 77(6):1560--1589, 2025. [ DOI<http://dx.doi.org/10.1080/01605682.2025.2537885> ]
[37] Lu Chen, Zheng Chen, Long Wan, and Wen-Chang Luo. Approximation scheme for the single-client capacitated facility location problem with operational cost budget constraint. Journal of the Operations Research Society of China, 14(2):687--699, 2024. [ DOI<http://dx.doi.org/10.1007/s40305-024-00555-y> ]
[38] Hela Frikha and Fedia Daami. A multi-objective mathematical programming model for location-routing of COVID-19 healthcare waste in Tunisia. Annals of Operations Research, 360:515–536, 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06308-7> ]
[39] Rudy Arthur. Valeriepieris circles for spatial data analysis. Geographical Analysis, 56(3):514--529, 2023. [ DOI<http://dx.doi.org/10.1111/gean.12383> ]
%%%%%%%%% OLDER %%%%%%%%%%%%%
[1] Maximilian Schiffer and Grit Walther. Strategic planning of electric logistics fleet networks: A robust location-routing approach. Omega, 80:31--42, 2018. [ DOI<http://dx.doi.org/10.1016/j.omega.2017.09.003> ]
[2] Bahar Sennaroglu and Gulsay Varlik Celebi. A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transportation Research Part D: Transport and Environment, 59:160--173, 2018. [ DOI<http://dx.doi.org/10.1016/j.trd.2017.12.022> ]
[3] Ali Reza Sepasian. Upgrading the 1-center problem with edge length variables on a tree. Discrete Optimization, 29:1--17, 2018. [ DOI<http://dx.doi.org/10.1016/j.disopt.2018.02.002> ]
[4] Adrian Serrano-Hernandez, Jesus M. Pintor, Javier Faulin, Christian Fikar, Irantzu Alegria, and Pablo Astiz. Practice summary: Deriving the optimal location of a biorefinery in northern Spain. Interfaces, 48(6):596--600, 2018. [ DOI<http://dx.doi.org/10.1287/inte.2018.0953> ]
[5] Mehrdad Shahabi, Amirmahdi Tafreshian, Avinash Unnikrishnan, and Stephen D. Boyles. Joint production–inventory–location problem with multi-variate normal demand. Transportation Research Part B: Methodological, 110:60--78, 2018. [ DOI<http://dx.doi.org/10.1016/j.trb.2018.02.002> ]
[6] A. Shamekhi Amiri, S. Ali Torabi, and R. Ghodsi. An iterative approach for a bi-level competitive supply chain network design problem under foresight competition and variable coverage. Transportation Research Part E: Logistics and Transportation Review, 109:99--114, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.11.002> ]
[7] Andrei Soeanu, Sujoy Ray, Jean Berger, and Mourad Debbabi. Efficient sensor network management for asset localization. Computers & Operations Research, 99:148--165, 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2018.06.001> ]
[8] Jiawei Song, Yang Wang, Haibo Wang, Qinghua Wu, and Abraham P. Punnen. An effective multi-wave algorithm for solving the max-mean dispersion problem. Journal of Heuristics, 25(4–5):731--752, 2018. [ DOI<http://dx.doi.org/10.1007/s10732-018-9398-5> ]
[9] Ou Sun and Neng Fan. Solving the multistage PMU placement problem by integer programming and equivalent network design model. Journal of Global Optimization, 74(3):477--493, 2018. [ DOI<http://dx.doi.org/10.1007/s10898-018-0672-8> ]
[10] Madjid Tavana, Amir-Reza Abtahi, Debora Di Caprio, Reza Hashemi, and Reza Yousefi-Zenouz. An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations. Socio-Economic Planning Sciences, 64:21--37, 2018. [ DOI<http://dx.doi.org/10.1016/j.seps.2017.12.004> ]
[11] D.D. Tönissen and J.J. Arts. Economies of scale in recoverable robust maintenance location routing for rolling stock. Transportation Research Part B: Methodological, 117:360--377, 2018. [ DOI<http://dx.doi.org/10.1016/j.trb.2018.09.006> ]
[12] Sara Sadat Torkestani, Seyed Mohammad Seyedhosseini, Ahmad Makui, and Kamran Shahanaghi. The reliable design of a hierarchical multi-modes transportation hub location problems (HMMTHLP) under dynamic network disruption (DND). Computers & Industrial Engineering, 122:39--86, 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.05.027> ]
[13] Trung Hieu Tran and Thu Ba T. Nguyen. Alternative-fuel station network design under impact of station failures. Annals of Operations Research, 279(1–2):151--186, 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-3054-1> ]
[14] Trung Hieu Tran, Gábor Nagy, Thu Ba T. Nguyen, and Niaz A. Wassan. An efficient heuristic algorithm for the alternative-fuel station location problem. European Journal of Operational Research, 269(1):159--170, 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.10.012> ]
[15] Ningwen Tu, Dimas Adiputranto, Xiaowen Fu, and Zhi-Chun Li. Shipping network design in a growth market: The case of Indonesia. Transportation Research Part E: Logistics and Transportation Review, 117:108--125, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.10.001> ]
[16] Satish Vadlamani, David Schweitzer, Hugh Medal, Apurba Nandi, and Burak Eksioglu. A mixed-integer programming approach for locating jamming devices in a flow-jamming attack. Computers & Operations Research, 95:83--96, 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2018.02.020> ]
[17] Sahar Validi, Arijit Bhattacharya, and P. J. Byrne. Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model. Annals of Operations Research, 290(1–2):191--222, 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2887-y> ]
[18] Marjolein Veenstra, Kees Jan Roodbergen, Leandro C. Coelho, and Stuart X. Zhu. A simultaneous facility location and vehicle routing problem arising in health care logistics in the Netherlands. European Journal of Operational Research, 268(2):703--715, 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.01.043> ]
[19] Nguyen Quoc Viet, Behzad Behdani, and Jacqueline Bloemhof. The value of information in supply chain decisions: A review of the literature and research agenda. Computers & Industrial Engineering, 120:68--82, 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.04.034> ]
[20] J. Miguel Villas-Boas. A dynamic model of repositioning. Marketing Science, 37(2):279--293, 2018. [ DOI<http://dx.doi.org/10.1287/mksc.2017.1075> ]
[21] Biing-Feng Wang. Comments on: Extensive facility location problems on networks: an updated review. TOP, 26(2):233--235, 2018. [ DOI<http://dx.doi.org/10.1007/s11750-018-0475-6> ]
[22] Yong Wang, Kevin Assogba, Yong Liu, Xiaolei Ma, Maozeng Xu, and Yinhai Wang. Two-echelon location-routing optimization with time windows based on customer clustering. Expert Systems with Applications, 104:244--260, 2018. [ DOI<http://dx.doi.org/10.1016/j.eswa.2018.03.018> ]
[23] David Z.W. Wang, Ashish Nayan, and W.Y. Szeto. Optimal bus service design with limited stop services in a travel corridor. Transportation Research Part E: Logistics and Transportation Review, 111:70--86, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.01.007> ]
[24] Shaohua Wang, Song Gao, Xin Feng, Alan T. Murray, and Yuan Zeng. A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. International Journal of Geographical Information Science, 32(7):1368--1390, 2018. [ DOI<http://dx.doi.org/10.1080/13658816.2018.1431838> ]
[25] Bo-Chen Wang, Miao Li, Yi Hu, Lin Huang, and Shu-Min Lin. Optimizing locations and scales of emergency warehouses based on damage scenarios. Journal of the Operations Research Society of China, 8(3):437--456, 2018. [ DOI<http://dx.doi.org/10.1007/s40305-018-0215-5> ]
[26] Lakmali Weerasena and Margaret M. Wiecek. A tolerance function for the multiobjective set covering problem. Optimization Letters, 13(1):3--21, 2018. [ DOI<http://dx.doi.org/10.1007/s11590-018-1267-5> ]
[27] Shanhua Wu and Zhongzhen Yang. Locating manufacturing industries by flow-capturing location model – case of Chinese steel industry. Transportation Research Part E: Logistics and Transportation Review, 112:1--11, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.01.017> ]
[28] Xianhua Wu, Yaru Cao, Yang Xiao, and Ji Guo. Finding of urban rainstorm and waterlogging disasters based on microblogging data and the location-routing problem model of urban emergency logistics. Annals of Operations Research, 290(1–2):865--896, 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2904-1> ]
[29] Fei Xie and Yongxi Huang. A multistage stochastic programming model for a multi-period strategic expansion of biofuel supply chain under evolving uncertainties. Transportation Research Part E: Logistics and Transportation Review, 111:130--148, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.01.015> ]
[30] Yue Xie, Shenghan Zhou, Yiyong Xiao, Sadan Kulturel-Konak, and Abdullah Konak. A β-accurate linearization method of euclidean distance for the facility layout problem with heterogeneous distance metrics. European Journal of Operational Research, 265(1):26--38, 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.07.052> ]
[31] Mohsen Yahyaei and Ali Bozorgi-Amiri. Robust reliable humanitarian relief network design: an integration of shelter and supply facility location. Annals of Operations Research, 283(1–2):897--916, 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2758-6> ]
[32] Woosuk Yang. A user-choice model for locating congested fast charging stations. Transportation Research Part E: Logistics and Transportation Review, 110:189--213, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.11.009> ]
[33] Hai Yang, Jintao Ke, and Jieping Ye. A universal distribution law of network detour ratios. Transportation Research Part C: Emerging Technologies, 96:22--37, 2018. [ DOI<http://dx.doi.org/10.1016/j.trc.2018.09.012> ]
[34] Handong Yao, Jianxun Cui, Xiaopeng Li, Yu Wang, and Shi An. A trajectory smoothing method at signalized intersection based on individualized variable speed limits with location optimization. Transportation Research Part D: Transport and Environment, 62:456--473, 2018. [ DOI<http://dx.doi.org/10.1016/j.trd.2018.03.010> ]
[35] Yun Yuan and Jie Yu. Locating transit hubs in a multi-modal transportation network: A cluster-based optimization approach. Transportation Research Part E: Logistics and Transportation Review, 114:85--103, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.03.008> ]
[36] Hao Yu and Wei Deng Solvang. A comparison of two location models in optimizing the decision-making on the relocation problem of post offices at Narvik, Norway. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pages 814--818. IEEE, 2018. [ DOI<http://dx.doi.org/10.1109/ieem.2018.8607606> ]
[37] Guodong Yu and Jie Zhang. Multi-dual decomposition solution for risk-averse facility location problem. Transportation Research Part E: Logistics and Transportation Review, 116:70--89, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.05.010> ]
[38] E. Yücel, F.S. Salman, and I. Arsik. Improving post-disaster road network accessibility by strengthening links against failures. European Journal of Operational Research, 269(2):406--422, 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.02.015> ]
[39] Hung-I Yu, Tien-Ching Lin, and D. T. Lee. The (1|1)-centroid problem in the plane with distance constraints. International Journal of Computational Geometry & Applications, 28(02):81--109, 2018. [ DOI<http://dx.doi.org/10.1142/s0218195918600014> ]
[40] Barış Yıldız, Oya Ekin Karaşan, and Hande Yaman. Branch-and-price approaches for the network design problem with relays. Computers & Operations Research, 92:155--169, 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2018.01.004> ]
[41] Oktay Yılmaz, Ertan Yakıcı, and Mumtaz Karatas. A UAV location and routing problem with spatio-temporal synchronization constraints solved by ant colony optimization. Journal of Heuristics, 25(4–5):673--701, 2018. [ DOI<http://dx.doi.org/10.1007/s10732-018-9389-6> ]
[42] Mauricio J.O. Zambon, Pedro J. de Rezende, and Cid C. de Souza. Finding exact solutions for the geometric firefighter problem in practice. Computers & Operations Research, 97:72--83, 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2018.05.003> ]
[43] Naeme Zarrinpoor, Mohammad Saber Fallahnezhad, and Mir Saman Pishvaee. The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm. European Journal of Operational Research, 265(3):1013--1032, 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.08.023> ]
[44] M. Zhalechian, S. Ali Torabi, and M. Mohammadi. Hub-and-spoke network design under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 109:20--43, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.11.001> ]
[45] Dongmei Zhang, Chunlin Hao, Chenchen Wu, Dachuan Xu, and Zhenning Zhang. Local search approximation algorithms for the k-means problem with penalties. Journal of Combinatorial Optimization, 37(2):439--453, 2018. [ DOI<http://dx.doi.org/10.1007/s10878-018-0278-6> ]
[46] Laijun Zhao, Yue Zhao, Qingmi Hu, Huiyong Li, and Johan Stoeter. Evaluation of consolidation center cargo capacity and locations for China railway express. Transportation Research Part E: Logistics and Transportation Review, 117:58--81, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.09.007> ]
[47] Hui Zhao, Kan Wu, and Edward Huang. Clinical trial supply chain design based on the pareto-optimal trade-off between time and cost. IISE Transactions, 50(6):512--524, 2018. [ DOI<http://dx.doi.org/10.1080/24725854.2017.1395978> ]
[48] Jianzhe Zhen and Dick den Hertog. Computing the maximum volume inscribed ellipsoid of a polytopic projection. INFORMS Journal on Computing, 30(1):31--42, 2018. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0763> ]
[49] Kaiyue Zheng and Laura A. Albert. An exact algorithm for solving the bilevel facility interdiction and fortification problem. Operations Research Letters, 46(6):573--578, 2018. [ DOI<http://dx.doi.org/10.1016/j.orl.2018.10.001> ]
[50] Chenyang Zhou, Anisha Mazumder, Arun Das, Kaustav Basu, Navid Matin-Moghaddam, Saharnaz Mehrani, and Arunabha Sen. Relay node placement under budget constraint. In Proceedings of the 19th International Conference on Distributed Computing and Networking, ICDCN ’18, pages 1--11. ACM, 2018. [ DOI<http://dx.doi.org/10.1145/3154273.3154302> ]
[51] Stuart X. Zhu and Evrim Ursavas. Design and analysis of a satellite network with direct delivery in the pharmaceutical industry. Transportation Research Part E: Logistics and Transportation Review, 116:190--207, 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.06.005> ]
[52] Ning Zhu, Chenyi Fu, and Shoufeng Ma. Data-driven distributionally robust optimization approach for reliable travel-time-information-gain-oriented traffic sensor location model. Transportation Research Part B: Methodological, 113:91--120, 2018. [ DOI<http://dx.doi.org/10.1016/j.trb.2018.05.009> ]
[53] Y.K. Agarwal and Y.P. Aneja. Fixed charge multicommodity network design using p-partition facets. European Journal of Operational Research, 258(1):124--135, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.09.015> ]
[54] Agostinho Agra, Jorge Orestes Cerdeira, and Cristina Requejo. A decomposition approach for the p-median problem on disconnected graphs. Computers & Operations Research, 86:79--85, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.05.006> ]
[55] Abbas Ahmadi, Mir Saman Pishvaee, and Mohammad Reza Akbari Jokar. A survey on multi-floor facility layout problems. Computers & Industrial Engineering, 107:158--170, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.03.015> ]
[56] Amir Ahmadi-Javid, Pardis Seyedi, and Siddhartha S. Syam. A survey of healthcare facility location. Computers & Operations Research, 79:223--263, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.05.018> ]
[57] M. Akbari-Jafarabadi, R. Tavakkoli-Moghaddam, M. Mahmoodjanloo, and Y. Rahimi. A tri-level r-interdiction median model for a facility location problem under imminent attack. Computers & Industrial Engineering, 114:151--165, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.10.003> ]
[58] Yagmur Aksan, Tansel Dokeroglu, and Ahmet Cosar. A stagnation-aware cooperative parallel breakout local search algorithm for the quadratic assignment problem. Computers & Industrial Engineering, 103:105--115, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.11.023> ]
[59] M. Hakan Akyüz. The capacitated multi-facility weber problem with polyhedral barriers: Efficient heuristic methods. Computers & Industrial Engineering, 113:221--240, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.09.011> ]
[60] Maria Albareda-Sambola, Elena Fernández, and Francisco Saldanha-da Gama. Heuristic solutions to the facility location problem with general Bernoulli demands. INFORMS Journal on Computing, 29(4):737--753, 2017. [ DOI<http://dx.doi.org/10.1287/ijoc.2017.0755> ]
[61] Maria Albareda-Sambola, Mercedes Landete, Juan F. Monge, and José L. Sainz-Pardo. Introducing capacities in the location of unreliable facilities. European Journal of Operational Research, 259(1):175--188, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.10.013> ]
1
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Dear EWGLA community,
Following the cancellation of the ISOLDE 2026 meeting in February, which we also shared on our mailing list, we received a proposal from the ISOLDE Steering Committee to transform the EWGLA 2027 meeting in İstanbul into a joint EWGLA-ISOLDE meeting in the EWGLA format.
This proposal has been discussed with the EWGLA 2027 Scientific Committee, including the EWGLA Board and the EWGLA 2027 Chairs, and we are pleased to announce that:
the EWGLA 2027 meeting will be held in Istanbul and will be a joint EWGLA-ISOLDE event.
The original dates of 16–18 June 2027 will be kept, with the possibility of extending to include 15 June. Therefore, we recommend marking 15–18 June 2027 in your calendars.
Further details will be shared with you. We look forward to meeting the entire Location community in İstanbul.
Best regards,
EWGLA Board
Diego, Hatice and Serena
Dr Serena Fugaro (she/her)
Lecturer in Business Analytics
Innovation, Technology and Operations Management Group (ITOM)
Norwich Business School
University of East Anglia
NR4 7TJ
???? s.fugaro(a)uea.ac.uk
[cid:3b7df95f-32fc-4585-b3b8-7e9d03c15c37]
1
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Dear fellow Locater,
You will find below my collection of references for May 2026.
It is subdivided into the 53 most recent references from 2023-2026 on the one hand, and 47 earlier ones on the other hand all from 2018.
The attached BibTeX file contains the full 100 item May collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] Bernardetta Addis, Giuliana Carello, and Gaël Reynal. A dynamic capacitated facility location problem with modular capacities and best service assignment: A comparison of formulations. Networks, 87(4):428--442, February 2026. [ DOI<http://dx.doi.org/10.1002/net.70032> ]
[2] Kannan Balakrishnan, Manoj Changat, M.V. Dhanyamol, Andreas M. Hinz, Hrishik Koley, and Divya Sindhu Lekha. The median of Sierpiński triangle graphs. Discrete Applied Mathematics, 387:306--317, 2026. [ DOI<http://dx.doi.org/10.1016/j.dam.2026.03.021> ]
[3] Anne G. Balter, Cláudia Nunes, Diogo Pereira, and Peter M. Kort. Multiple cartel-like equilibria in Hotelling’s model. European Journal of Operational Research, 333(3):940--955, April 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.04.008> ]
[4] Nils Boysen, Michael Schneider, and Ivan Žulj. Energy management for electric vehicles in facility logistics: A survey from an operational research perspective. European Journal of Operational Research, 333(2):321--336, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2025.12.031> ]
[5] Christina Büsing, Timo Gersing, and Sophia Wrede. Insights into the computational complexity of the single-source capacitated facility location problem with customer preferences. Annals of Operations Research, 359(3):2457--2482, March 2026. [ DOI<http://dx.doi.org/10.1007/s10479-026-07110-3> ]
[6] Qingyun Chen, Nick Gravin, and Sungjin Im. Strategic facility location via predictions. In Marios Mavronicolas, Qi Qi, and Grant Schoenebeck, editors, Web and Internet Economics, pages 401--419. Springer Nature Switzerland, 2026. [ DOI<http://dx.doi.org/10.1007/978-3-032-08560-3_23> ]
[7] Wei-Kun Chen, Wei-Yang Zhang, Yan-Ru Wang, Shahin Gelareh, and Yu-Hong Dai. An efficient branch-and-cut approach for large-scale competitive facility location problems with limited choice rule. European Journal of Operational Research, 333(2):349--364, 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.02.010> ]
[8] Yasin Demirel, Esra Türk, and Tarık Türk. Optimizing retail location selection strategies using spatial statistics and GIS: A decision support framework for supermarket chains in emerging urban centers. Applied Spatial Analysis and Policy, 19(1):62, March 2026. [ DOI<http://dx.doi.org/10.1007/s12061-026-09833-z> ]
[9] Nader Ghaffarinasab and Morton E. O’Kelly. Solution approaches for the uncapacitated r-allocation p-hub center problem. Computers & Operations Research, 192:107497, August 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107497> ]
[10] Ida Gjergji, Lucas Kletzander, and Nysret Musliu. Large neighborhood search and hyper-heuristics for the capacitated p-median problem. Journal of Heuristics, 32(1):7, January 2026. [ DOI<http://dx.doi.org/10.1007/s10732-025-09580-3> ]
[11] Fang Guo, Yi Wang, and Zhihong Huang. Integrated optimization of rural passenger-freight transport with leasing cost uncertainty: A robust location-routing framework. Transportation Research Part E: Logistics and Transportation Review, 210:104782, June 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104782> ]
[12] Norman Karimazondo, Narissara Nuthammachot, and Warangkana Jutidamrongphan. Landfill site selection in Bulawayo, Zimbabwe: Integrating fuzzy-AHP and GIS within an R-based decision support framework. Applied Spatial Analysis and Policy, 19(1):50, February 2026. [ DOI<http://dx.doi.org/10.1007/s12061-026-09825-z> ]
[13] Anirudh Kishore Bhoopalam, Niels Agatz, and Martin Savelsbergh. Scenario‐based platoon lane network design. Networks, 87(4):443--459, February 2026. [ DOI<http://dx.doi.org/10.1002/net.70033> ]
[14] Junhyeok Lee and Youngchul Shin. E-commerce supply chain network with flexible leasing capacity of fulfillment centers using robust optimization. Transportation Research Part E: Logistics and Transportation Review, 210:104727, June 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104727> ]
[15] Yanfeng Li and Jie Zhang. Multi-echelon location routing problem with vehicle-drone delivery and transshipment for cold chain transportation. Annals of Operations Research, 359(3):2523--2562, January 2026. [ DOI<http://dx.doi.org/10.1007/s10479-026-07051-x> ]
[16] Hongmei Li, Dongxia Qu, and Taibo Luo. A robust model on the location of temporary medical centers considering secondary disasters. Expert Systems with Applications, 312:131532, May 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.131532> ]
[17] Zhifeng Lin, Yuhao Jiang, Zuodong Liu, and Jiarui Chen. High-performance placement for VLSI logic synthesis. Algorithms, 19(4):280, April 2026. [ DOI<http://dx.doi.org/10.3390/a19040280> ]
[18] Iñigo Martín Melero, Juan Carlos Gonçalves-Dosantos, Mercedes Landete, and Joaquín Sánchez-Soriano. Under-capacitated p-median location problem. Transportation Research Part E: Logistics and Transportation Review, 210:104768, June 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104768> ]
[19] Fábio Pires Mourão, Elisangela Martins de Sá, Sérgio Ricardo de Souza, and Marcone Jamilson Freitas Souza. A tabu search algorithm for the single source capacitated partial set covering location problem. Journal of Heuristics, 32(1):10, February 2026. [ DOI<http://dx.doi.org/10.1007/s10732-026-09581-w> ]
[20] Chen Peng, Yang Yang, Enjian Yao, Long Pan, and Yuting Zhu. Coordinate fixed and mobile charging station deployment and scheduling for fluctuating demand. Transportation Research Part D: Transport and Environment, 155:105331, June 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105331> ]
[21] Hossein Poursoltani, Mahboobeh Honarvar, and Hamidreza Abedsoltan. Developing an integrated model of hierarchical hub location and inventory control for perishable products in urban and rural areas: a case study in food supply chain. Computers & Operations Research, 192:107481, August 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107481> ]
[22] Fernando Real-Rojas, Victor M. Tenorio, Luis Cadarso, and Antonio G. Marques. Rapid transit network design via convex optimization: The role of sparsity and entropy-based regularizers. Transportation Research Part B: Methodological, 208:103448, June 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103448> ]
[23] Yangguang Shi and Zhenyu Xue. Prediction-augmented mechanism design for weighted facility location. In Min Li, Mingji Xia, and Peng Zhang, editors, Theory and Applications of Models of Computation, pages 262--274. Springer Nature Singapore, 2026. [ DOI<http://dx.doi.org/10.1007/978-981-95-4839-2_20> ]
[24] Zhu Sifeng, Zhang Jiaxu, Zhang Zonghui, Bao Lei, Hao Zhipeng, Zhang Qinghua, Chen Guoqiang, Qiao Rui, Xu Mengmeng, and Zhu Hai. Optimal deployment decision-making of unmanned platforms in space-air-ground-sea integrated network scenarios. Expert Systems with Applications, 315:131630, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.131630> ]
[25] Vishwanath R. Singireddy, Manjanna Basappa, and Joseph S.B. Mitchell. Algorithms for k-dispersion for points in convex position in the plane. Discrete Applied Mathematics, 386:205--216, June 2026. [ DOI<http://dx.doi.org/10.1016/j.dam.2026.02.008> ]
[26] Karlheinz Spindler. The Fermat-Torricelli problem revisited. Mathematische Semesterberichte, 73:51–76, December 2026. [ DOI<http://dx.doi.org/10.1007/s00591-025-00402-y> ]
[27] Muhammed Telçeken and Berkay Aydeniz. Artificial intelligence-assisted indoor signal propagation and modem placement optimization. Computing, 108(3):37, February 2026. [ DOI<http://dx.doi.org/10.1007/s00607-026-01628-x> ]
[28] Meng Wan, Songsong Liu, Richard Allmendinger, and Rui Su. Multi-objective robust optimization for facility location problem of personalized medicine supply chain. European Journal of Operational Research, 333(3):807--822, January 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.01.003> ]
[29] Zongshan Wang, Ali Ala, Vladimir Simic, Dragan Pamucar, and Nezir Aydin. Enhancing optimization models for multi-commodity sustainable supply chain networks and managing environmental challenges. Operational Research, 26(1):20, January 2026. [ DOI<http://dx.doi.org/10.1007/s12351-025-01010-3> ]
[30] Xun Weng, Wenke She, Hongqiang Fan, Jingtian Zhang, and Lifen Yun. A reliable location model for charging piles of automated guided vehicles in the logistics center based on queuing. Expert Systems with Applications, 311:131321, May 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.131321> ]
[31] Hanyin Xiao, Ruiqing Sun, Zhikang Zhang, and Weidong Li. An LP-rounding based algorithm for hard capacitated uniform facility location problem with soft penalties. In Min Li, Mingji Xia, and Peng Zhang, editors, Theory and Applications of Models of Computation, pages 251--261. Springer Nature Singapore, 2026. [ DOI<http://dx.doi.org/10.1007/978-981-95-4839-2_19> ]
[32] Xinru Xu, Wenjing Liu, and Qizhi Fang. Constrained distributed heterogeneous two-facility location problems with max-variant cost. In Min Li, Mingji Xia, and Peng Zhang, editors, Theory and Applications of Models of Computation, pages 121--134. Springer Nature Singapore, 2026. [ DOI<http://dx.doi.org/10.1007/978-981-95-4839-2_10> ]
[33] Ta-Hui Yang, Ching-Hui Tang, and Wan-Tien O. Cruise network design under sequential duopolistic entry. Journal of Marine Science and Technology–Taiwan, 34(1):42--52, 2026. [ DOI<http://dx.doi.org/10.51400/2709-6998.2807> ]
[34] Yingying Yang, Hoa T. Bui, and Ryan Loxton. An exact method for the bi-objective p-median max-sum diversity problem. European Journal of Operational Research, 333(3):689--700, February 2026. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.02.030> ]
[35] Stefano Colombo. Equilibrium location of storage facilities. Spatial Economic Analysis, pages 1--15, June 2025. [ DOI<http://dx.doi.org/10.1080/17421772.2025.2512255> ]
[36] Giulia Caselli, Manuel Iori, and Ivana Ljubić. Bilevel optimization with sustainability perspective: A survey on applications. European Journal of Operational Research, 332(2):357--375, September 2025. [ DOI<http://dx.doi.org/10.1016/j.ejor.2025.08.051> ]
[37] Rossana Cavagnini, Alberto Santini, and Michael Schneider. Recent developments in location-routing problems. European Journal of Operational Research, 332(3):711--729, September 2025. [ DOI<http://dx.doi.org/10.1016/j.ejor.2025.09.040> ]
[38] Neelima Gupta, Rajni Dabas, and Naveen Garg. Capacitated facility location with outliers and uniform facility costs. Mathematical Programming, 216(1-2):275--294, 2025. [ DOI<http://dx.doi.org/10.1007/s10107-025-02243-y> ]
[39] Ahmed W. A. Hammad, Vivian W. Y. Tam, and Assed N. Haddad. A bi-level mixed integer non-linear programming model to solve the billboard location problem in cities. International Journal of Construction Management, 25(16):1929--1937, April 2025. [ DOI<http://dx.doi.org/10.1080/15623599.2025.2491759> ]
[40] Panteleimon Iosif, Nikolaos Ploskas, and Kostas Stergiou. A heuristic constraint programming method for the p-median problem with distance constraints. The European Journal on Artificial Intelligence, 39(2):223–250, June 2025. [ DOI<http://dx.doi.org/10.1177/30504554251344177> ]
[41] Jincheol Lee, Gyeongjun Kim, and Keemin Sohn. Transformation of bi-level transit network design problem into single-objective unconstrained optimization. Networks and Spatial Economics, 26(1):189--237, October 2025. [ DOI<http://dx.doi.org/10.1007/s11067-025-09698-8> ]
[42] Mengzhen Li, Chenchen Wu, Dachuan Xu, and Yicheng Xu. Approximating per-scenario bound for the two-stage stochastic facility location problem. In Fedor V. Fomin and Mingyu Xiao, editors, Computing and Combinatorics, chapter 3, pages 32--43. Springer Nature Singapore, August 2025. [ DOI<http://dx.doi.org/10.1007/978-981-95-0215-8_3> ]
[43] Chen-Yen Lin, Chung-Cheng Lu, and Paul M. Schonfeld. Public charging facility location modeling with route choice behavior of multiple user classes. Networks and Spatial Economics, 26(1):239--258, October 2025. [ DOI<http://dx.doi.org/10.1007/s11067-025-09701-2> ]
[44] Constantia Malekkou and Demetris Trihinas. Retailer service point placement via customer geo-location clustering. In Achilleas Achilleos, Stefano Forti, George Angelos Papadopoulos, and Ilias Pappas, editors, Pervasive Digital Services for People’s Well-Being, Inclusion and Sustainable Development, pages 263--275. Springer Nature Switzerland, September 2025. [ DOI<http://dx.doi.org/10.1007/978-3-032-06164-5_19> ]
[45] Mohammadjavad Nosrati-Zegoloujeh, Farid Momayezi, and Alimohammad Lotfi. A two-stage stochastic programming approach to design the fish supply chain network considering export revenues and carbon emission: a real case study. Operational Research, 26(1):5, November 2025. [ DOI<http://dx.doi.org/10.1007/s12351-025-00994-2> ]
[46] Abdolreza Roshani, Glenn Parry, and Philip Walker-Davies. Mathematical formulations and a relax-and-fix heuristic algorithm for capacitated reliable fixed-charge facility location problems. Journal of Heuristics, 32(1):5, December 2025. [ DOI<http://dx.doi.org/10.1007/s10732-025-09577-y> ]
[47] Lingxiao Yang, Jianfeng Zheng, and Jian Wang. Hub port location and routing for a single-hub feeder network: Effect of liner shipping network connectivity. Transport Policy, 160:212--227, January 2025. [ DOI<http://dx.doi.org/10.1016/j.tranpol.2024.11.009> ]
[48] Gawon Yun and Douglas N. Hales. Drivers of location advantages in the medical device industry: a qualitative study. Operations Management Research, 19(1):15, November 2025. [ DOI<http://dx.doi.org/10.1007/s12063-025-00578-5> ]
[49] Ziqing Zhang, Lin Wang, Zhijia Tan, and Sirui Wang. Locating and scheduling mobile pre-cooling stations for agricultural products. Journal of the Operational Research Society, 77(5):1179--1203, 2025. [ DOI<http://dx.doi.org/10.1080/01605682.2025.2520984> ]
[50] Jordi Zomer, Nikola Bešinović, Mathijs M. de Weerdt, and Rob M.P. Goverde. The maintenance scheduling and location choice problem for railway rolling stock. European Journal of Operational Research, 332(2):474--491, December 2025. [ DOI<http://dx.doi.org/10.1016/j.ejor.2025.12.005> ]
[51] Hela Frikha and Fedia Daami. A multi-objective mathematical programming model for location-routing of COVID-19 healthcare waste in Tunisia. Annals of Operations Research, 360:515–536, 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06308-7> ]
[52] Mustapha Oudani, Karim Zkik, Amine Belhadi, Sachin Kamble, Anass Sebbar, and Hanane El Raoui. Organizational resilience of the airline industry using an integrated epidemic and airline hub location model with traffic prediction. Annals of Operations Research, 360:225–250, 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06111-4> ]
[53] Chunjian Shang, Liang Ma, and Yong Liu. Green location routing problem with flexible multi-compartment for source-separated waste: A Q-learning and multi-strategy-based hyper-heuristic algorithm. Engineering Applications of Artificial Intelligence, 121:105954, May 2023. [ DOI<http://dx.doi.org/10.1016/j.engappai.2023.105954> ]
%%%%%%%%% OLDER %%%%%%%%%%%%%
[1] Maria Isabel Gomes, Lourdes B. Afonso, Nelson Chibeles-Martins, and Joana M. Fradinho. Multi-start local search procedure for the maximum fire risk insured capital problem. In Jon Lee, Giovanni Rinaldi, and A. Ridha Mahjoub, editors, Combinatorial Optimization, pages 219--227. Springer International Publishing, 2018. [ DOI<http://dx.doi.org/10.1007/978-3-319-96151-4_19> ]
[2] Ravishankar Krishnaswamy, Shi Li, and Sai Sandeep. Constant approximation for k-median and k-means with outliers via iterative rounding. In Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, pages 646 -- 659. ACM, jun 2018. [ DOI<http://dx.doi.org/10.1145/3188745.3188882> ]
[3] Kaibo Liu and Jianjun Shi. A Systematic Approach for Business Data Analytics With a Real Case Study, pages 933--954. IGI Global, 2018. [ DOI<http://dx.doi.org/10.4018/978-1-5225-3909-4.ch043> ]
[4] Elisangela Martins de Sá, Reinaldo Morabito, and Ricardo Saraiva de Camargo. Efficient Benders decomposition algorithms for the robust multiple allocation incomplete hub location problem with service time requirements. Expert Systems with Applications, 93:50--61, March 2018. [ DOI<http://dx.doi.org/10.1016/j.eswa.2017.10.005> ]
[5] Mobina Masaeli, Sibel A. Alumur, and James H. Bookbinder. Shipment scheduling in hub location problems. Transportation Research Part B: Methodological, 115:126--142, September 2018. [ DOI<http://dx.doi.org/10.1016/j.trb.2018.07.003> ]
[6] Mina Mazraeh Farahani, S. Kamal Chaharsooghi, T. Van Woensel, and Lucas P. Veelenturf. Capacitated network-flow approach to the evacuation-location problem. Computers & Industrial Engineering, 115:407--426, January 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.11.026> ]
[7] P. Memari, R. Tavakkoli-Moghaddam, M. Partovi, and A. Zabihian. Fuzzy dynamic location-allocation problem with temporary multi-medical centers in disaster management. IFAC-PapersOnLine, 51(11):1554--1560, 2018. [ DOI<http://dx.doi.org/10.1016/j.ifacol.2018.08.275> ]
[8] Mitchell A. Millstein and James F. Campbell. Total Hockey optimizes omnichannel facility locations. Interfaces, 48(4):340--356, August 2018. [ DOI<http://dx.doi.org/10.1287/inte.2018.0942> ]
[9] Robin Milosz and Sylvie Hamel. Exploring the median of permutations problem. Journal of Discrete Algorithms, 52–53:92--111, September 2018. [ DOI<http://dx.doi.org/10.1016/j.jda.2018.11.007> ]
[10] D.G. Mogale, Mukesh Kumar, Sri Krishna Kumar, and Manoj Kumar Tiwari. Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network. Transportation Research Part E: Logistics and Transportation Review, 111:40--69, March 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.01.004> ]
[11] Farid Momayezi, S. Kamal Chaharsooghi, Mohammad Mehdi Sepehri, and Ali Husseinzadeh Kashan. The capacitated modular single-allocation hub location problem with possibilities of hubs disruptions: modeling and a solution algorithm. Operational Research, 21(1):139--166, November 2018. [ DOI<http://dx.doi.org/10.1007/s12351-018-0438-6> ]
[12] Tiago Montanher, Arnold Neumaier, Mihály Csaba Markót, Ferenc Domes, and Hermann Schichl. Rigorous packing of unit squares into a circle. Journal of Global Optimization, 73(3):547--565, October 2018. [ DOI<http://dx.doi.org/10.1007/s10898-018-0711-5> ]
[13] Alfredo Moreno, Douglas Alem, Deisemara Ferreira, and Alistair Clark. An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains. European Journal of Operational Research, 269(3):1050--1071, September 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.02.022> ]
[14] Bruna Mota, Maria Isabel Gomes, Ana Carvalho, and Ana Paula Barbosa-Povoa. Sustainable supply chains: An integrated modeling approach under uncertainty. Omega, 77:32--57, June 2018. [ DOI<http://dx.doi.org/10.1016/j.omega.2017.05.006> ]
[15] M. Mousazadeh, S. Ali Torabi, M.S. Pishvaee, and F. Abolhassani. Accessible, stable, and equitable health service network redesign: A robust mixed possibilistic-flexible approach. Transportation Research Part E: Logistics and Transportation Review, 111:113--129, March 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.01.006> ]
[16] Arcan Nalca, Tamer Boyaci, and Saibal Ray. Brand positioning and consumer taste information. European Journal of Operational Research, 268(2):555--568, July 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.01.058> ]
[17] Mohammad Mahdi Nasiri, Vahid Mahmoodian, Ali Rahbari, and Shabnam Farahmand. A modified genetic algorithm for the capacitated competitive facility location problem with the partial demand satisfaction. Computers & Industrial Engineering, 124:435--448, October 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.07.045> ]
[18] Kien Trung Nguyen, Huong Nguyen-Thu, and Nguyen Thanh Hung. On the complexity of inverse convex ordered 1-median problem on the plane and on tree networks. Mathematical Methods of Operations Research, 88(2):147--159, February 2018. [ DOI<http://dx.doi.org/10.1007/s00186-018-0632-6> ]
[19] Suriyaphong Nilsang, Chumpol Yuangyai, Chen-Yang Cheng, and Udom Janjarassuk. Locating an ambulance base by using social media: a case study in Bangkok. Annals of Operations Research, 283(1–2):497--516, June 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2918-8> ]
[20] S. Nobakhtian and A. Raeisi Dehkordi. A fast algorithm for the rectilinear distance location problem. Mathematical Methods of Operations Research, 88(1):81--98, January 2018. [ DOI<http://dx.doi.org/10.1007/s00186-018-0629-1> ]
[21] Reut Noham and Michal Tzur. Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265(3):1064--1077, March 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.08.042> ]
[22] Murat Oğuz, Tolga Bektaş, and Julia A. Bennell. Multicommodity flows and Benders decomposition for restricted continuous location problems. European Journal of Operational Research, 266(3):851--863, May 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.11.033> ]
[23] Eunjin Oh, Jean-Lou De Carufel, and Hee-Kap Ahn. The geodesic 2-center problem in a simple polygon. Computational Geometry, 74:21--37, October 2018. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2018.02.008> ]
[24] Mahmood Pariazar and Mustafa Y. Sir. A multi-objective approach for supply chain design considering disruptions impacting supply availability and quality. Computers & Industrial Engineering, 121:113--130, July 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.05.026> ]
[25] Seyed Hamid Reza Pasandideh, Seyed Taghi Akhavan Niaki, and Reza Abdollahi. Modeling and solving a bi-objective joint replenishment-location problem under incremental discount:MOHSA and NSGA-II. Operational Research, 20(4):2365--2396, September 2018. [ DOI<http://dx.doi.org/10.1007/s12351-018-0423-0> ]
[26] Konstantin Pavlikov. Improved formulations for minimum connectivity network interdiction problems. Computers & Operations Research, 97:48--57, September 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2018.04.012> ]
[27] Robin H. Pearce and Michael Forbes. Disaggregated Benders decomposition and branch-and-cut for solving the budget-constrained dynamic uncapacitated facility location and network design problem. European Journal of Operational Research, 270(1):78--88, October 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.03.021> ]
[28] Khosro Pichka, Amirsaman H. Bajgiran, Matthew E.H. Petering, Jaejin Jang, and Xiaohang Yue. The two echelon open location routing problem: Mathematical model and hybrid heuristic. Computers & Industrial Engineering, 121:97--112, July 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.05.010> ]
[29] Surya Prakash, Sameer Kumar, Gunjan Soni, Vipul Jain, and Ajay Pal Singh Rathore. Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach. Annals of Operations Research, 290(1–2):837--864, May 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2902-3> ]
[30] Ram Prashanth Radha Krishnan, James C. Benneyan, and Sibel B. Sonuc. Optimization of medical supply chains and forward store locations for recurrent homecare patient demand with periodic interruptions. American Journal of Operations Research, 08(03):203--220, 2018. [ DOI<http://dx.doi.org/10.4236/ajor.2018.83012> ]
[31] Justo Puerto, Federica Ricca, and Andrea Scozzari. Extensive facility location problems on networks: an updated review. TOP, 26(2):187--226, April 2018. [ DOI<http://dx.doi.org/10.1007/s11750-018-0476-5> ]
[32] Justo Puerto, Federica Ricca, and Andrea Scozzari. Rejoinder on: Extensive facility location problems on networks: an updated review. TOP, 26(2):236--238, April 2018. [ DOI<http://dx.doi.org/10.1007/s11750-018-0477-4> ]
[33] Aaron Pulver and Ran Wei. Optimizing the spatial location of medical drones. Applied Geography, 90:9--16, jan 2018. [ DOI<http://dx.doi.org/10.1016/j.apgeog.2017.11.009> ]
[34] Md Abdul Quddus, Sudipta Chowdhury, Mohammad Marufuzzaman, Fei Yu, and Linkan Bian. A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network. International Journal of Production Economics, 195:27--44, January 2018. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2017.09.019> ]
[35] José Miguel Quesada Pérez, Jean-Charles Lange, and Jean-Sébastien Tancrez. A multi-hub express shipment service network design model with flexible hub assignment. Transportation Research Part E: Logistics and Transportation Review, 120:116--131, December 2018. [ DOI<http://dx.doi.org/10.1016/j.tre.2018.10.009> ]
[36] Masoud Rabbani, Ali Sabbaghnia, Mahdi Mobini, and Jafar Razmi. A graph theory-based algorithm for a multi-echelon multi-period responsive supply chain network design with lateral-transshipments. Operational Research, 20(4):2497--2517, September 2018. [ DOI<http://dx.doi.org/10.1007/s12351-018-0425-y> ]
[37] Maryam Radman and Kourosh Eshghi. Designing a multi-service healthcare network based on the impact of patients’ flow among medical services. OR Spectrum, 40(3):637--678, May 2018. [ DOI<http://dx.doi.org/10.1007/s00291-018-0519-1> ]
[38] A. Raeisi Dehkordi. The optimal solution set of the multi-source Weber problem. Bulletin of the Iranian Mathematical Society, 45(2):495--514, July 2018. [ DOI<http://dx.doi.org/10.1007/s41980-018-0145-3> ]
[39] Donya Rahmani. Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions. Annals of Operations Research, 283(1–2):613--641, July 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2960-6> ]
[40] Prasanna Ramamoorthy, Sachin Jayaswal, Ankur Sinha, and Navneet Vidyarthi. Multiple allocation hub interdiction and protection problems: Model formulations and solution approaches. European Journal of Operational Research, 270(1):230--245, October 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.03.031> ]
[41] Mohammad. Rohaninejad, Rashed Sahraeian, and Reza Tavakkoli-Moghaddam. An accelerated Benders decomposition algorithm for reliable facility location problems in multi-echelon networks. Computers & Industrial Engineering, 124:523--534, October 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.07.047> ]
[42] Mark Rozanov and Arie Tamir. The nestedness property of location problems on the line. TOP, 26(2):257--282, March 2018. [ DOI<http://dx.doi.org/10.1007/s11750-018-0471-x> ]
[43] Narjes Sabeghi and Hamed Reza Tareghian. Using the generalized maximum covering location model to control a project’s progress. Computational Management Science, 17(1):1--21, February 2018. [ DOI<http://dx.doi.org/10.1007/s10287-018-0301-5> ]
[44] Francisco Saldanha-da Gama. Comments on: Extensive facility location problems on networks: an updated review. TOP, 26(2):229--232, April 2018. [ DOI<http://dx.doi.org/10.1007/s11750-018-0474-7> ]
[45] Suman Samanta, Deepu Philip, and Shankar Chakraborty. Bi-objective dependent location quadratic assignment problem: Formulation and solution using a modified artificial bee colony algorithm. Computers & Industrial Engineering, 121:8--26, July 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.05.018> ]
[46] José A. Santiváñez and Héctor J. Carlo. Reliable capacitated facility location problem with service levels. EURO Journal on Transportation and Logistics, 7(4):315--341, December 2018. [ DOI<http://dx.doi.org/10.1007/s13676-018-0125-z> ]
[47] José A. Santiváñez and Emanuel Melachrinoudis. Reliable maximin–maxisum locations for maximum service availability on tree networks vulnerable to disruptions. Annals of Operations Research, 286(1–2):669--701, August 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2993-x> ]
1
0
Dear fellow Locater,
You will find below my collection of references for April 2026.
It is subdivided into the 28 most recent references from 2024-2026 on the one hand, and 72 earlier ones on the other hand ranging back from 2023 to 2018.
The attached BibTeX file contains the full 100 item April collection.
Enjoy,
Sincerely
Frank Plastria
%%%%%%%%% RECENT %%%%%%%%%%%%%
[1] José-Fernando Camacho-Vallejo and Dámaris Dávila. Nested evolutionary algorithms for solving a bi-level warehouse location problem that considers inventory decisions. Annals of Operations Research, 358(2):895--928, August 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06182-3> ]
[2] Kien Trung Nguyen, Huong Nguyen-Thu, Huy Minh Le, and Tran Thanh Hiep. Combinatorial algorithms for the minmax robust median subtree problem on tree networks with interval vertex weights. Asian-European Journal of Mathematics, 18(02):2450107, October 2024. [ DOI<http://dx.doi.org/10.1142/s1793557124501079> ]
[3] Pawel Kalczynski, Jack Brimberg, and Zvi Drezner. On the probability that the optimal solution of the Weber location problem is at a demand point. Mathematical Methods of Operations Research, 102(2–3):229--244, September 2025. [ DOI<http://dx.doi.org/10.1007/s00186-025-00906-2> ]
[4] Van Huy Pham, Ngan Nguyen, Minh-Quang Cao, Hong-Phuong Dang, and Thu-Le Tran. Stability radius and an upgrading model of median location on trees. Asia-Pacific Journal of Operational Research, 43(02):2550030, July 2025. [ DOI<http://dx.doi.org/10.1142/s0217595925500307> ]
[5] Mehmet Tanyas and Ozden Ozkanlisoy. Designating optimal location of urban consolidation centres in the city of Istanbul: A triple-staged approach in the context of sustainable supply chain management. Research in Transportation Economics, 114:101672, December 2025. [ DOI<http://dx.doi.org/10.1016/j.retrec.2025.101672> ]
[6] Gideon Gottschalg, Arne K. Strauss, Nikola Ivanov, Bojana Mirković, and Juan Blasco Puyuelo. Vertiport location planning for urban air mobility airport shuttle services under demand uncertainty. Transportation Research Part A: Policy and Practice, 207:104957, May 2026. [ DOI<http://dx.doi.org/10.1016/j.tra.2026.104957> ]
[7] Taehoon Ahn and Sang Won Bae. Constrained two-line center problems. Computational Geometry, 134:102258, September 2026. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2026.102258> ]
[8] Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart, Nancy Perrot, and Alexis Schneider. Complexity of the virtual network embedding with uniform demands. Annals of Operations Research, 358(3):1141--1167, February 2026. [ DOI<http://dx.doi.org/10.1007/s10479-026-07088-y> ]
[9] Zhen Di, Yuhang Zhou, and Jianguo Qi. Urban delivery network location–routing problem under a metro–truck intermodal transportation mode. Computers & Industrial Engineering, 215:111939, May 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111939> ]
[10] Amir M. Fathollahi-Fard and Zhiwu Li. Adaptive large neighborhood search algorithm for redesigning a closed-loop supply chain network considering capacity configurations. Computers & Operations Research, 190:107415, June 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107415> ]
[11] Zhaomiao Guo. Optimize information sharing locations in locally connected mobility systems. Transportation Research Part C: Emerging Technologies, 186:105580, May 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105580> ]
[12] Bo He, Jiawei Xu, Chengcheng Yan, and Zheng Peng. Solving the chiplet placement problem via accelerated perturbed ADMM. Computers & Operations Research, 190:107430, June 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107430> ]
[13] Hyunhwa Kim, Denissa Sari Darmawi Purba, and Eleftheria Kontou. Bidirectional energy supply logistics using uncrewed electric aerial and ground vehicles: A two-echelon location-routing problem with resource-constrained demand allocation and time windows. Transportation Research Part E: Logistics and Transportation Review, 209:104726, May 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104726> ]
[14] Mirosław Kowaluk, Andrzej Lingas, and Mia Persson. Fast approximate -center clustering in high-dimensional spaces. Algorithms, 19(3):243, March 2026. [ DOI<http://dx.doi.org/10.3390/a19030243> ]
[15] Josiah Lansang and Faramarz F. Samavati. Spherical geodesic bounds and a k-circle coverage formulation. ISPRS International Journal of Geo-Information, 15(3):135, March 2026. [ DOI<http://dx.doi.org/10.3390/ijgi15030135> ]
[16] Lianyu Liu and Zaiwu Gong. Coalition-based facility location optimization for urban UAV logistics. Transportation Research Part C: Emerging Technologies, 186:105624, May 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105624> ]
[17] Yanchao Lu, Runsheng Zhang, Ruoxuan Wang, Bochen Fu, Kaiming Lu, Pengfei Fan, Lei Yu, and Guohua Song. Trajectory data–driven modeling and optimization of urban freight charging networks. Transportation Research Part D: Transport and Environment, 154:105288, May 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105288> ]
[18] Miklós Molnár and Basma Mostafa Hassan. Steiner tree approximations in graphs and hypergraphs. Algorithms, 19(3):232, March 2026. [ DOI<http://dx.doi.org/10.3390/a19030232> ]
[19] Alireza Saberi, Mahdi Alinaghian, Mohammad Reza Asadi, and Erfan Babaee Tirkolaee. Multi-depot periodic capacitated arc routing problem with intermediate facilities for waste collection. Computers & Operations Research, 190:107412, June 2026. [ DOI<http://dx.doi.org/10.1016/j.cor.2026.107412> ]
[20] Mina Valaei, Ahmed Saif, Hassan Sarhadi, and Hamid Afshari. Robust prepositioning and allocation of maritime search and rescue vessels with incident location uncertainty. Transportation Research Part E: Logistics and Transportation Review, 209:104693, May 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104693> ]
[21] Conrado Vidotte Plaza, Okan Arslan, Gilbert Laporte, Glaydston Mattos Ribeiro, Laura Bahiense, and Glaubos Clímaco. The charger location problem with routing and driver working hours for long-haul electric heavy-duty trucks. Transportation Research Part C: Emerging Technologies, 186:105598, May 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105598> ]
[22] Yong Wang, Shiqi Zhang, Jing Liu, Yuanhan Wei, and Haizhong Wang. The logistics vehicle charging station location selection and routing problem with partial recharging and shared fleets. Transportation Research Part E: Logistics and Transportation Review, 209:104723, May 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.104723> ]
[23] Zuopeng Xiao, Yonglin Li, and Xiangyu Du. How do heterogeneous micro-scale built spaces influence the location of parcel delivery microhubs? evidence from the case of Shenzhen, China. Research in Transportation Business & Management, 66:101616, March 2026. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2026.101616> ]
[24] Haitao Xu and Jingru Zhang. The k-center problem of uncertain points on graphs. Information Processing Letters, 193:106621, April 2026. [ DOI<http://dx.doi.org/10.1016/j.ipl.2026.106621> ]
[25] Kai Yang, Dayou Gao, Jiaqi Gao, Yicun Chen, and Mengru Shen. Optimal location of fixed and portable traffic sensors for path flow estimation: A two-stage stochastic program with Wasserstein distance. Computers & Industrial Engineering, 215:111920, May 2026. [ DOI<http://dx.doi.org/10.1016/j.cie.2026.111920> ]
[26] Jialu Yang, Danesh Hosseinpanahi, Bo Zou, and Jane Lin. Powering long haul freight: hydrogen refueling station siting using pipeline infrastructure. Transportation Research Part D: Transport and Environment, 154:105226, May 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105226> ]
[27] Ta-Hui Yang, Ching-Hui Tang, and Wan-Tien O. Cruise network design under sequential duopolistic entry. Journal of Marine Science and Technology–Taiwan, 34(1):42--52, 2026. [ DOI<http://dx.doi.org/10.51400/2709-6998.2807> ]
[28] Büşra Yılmaz, Murat Oturakçı, Uğur Eliiyi, Deniz Türsel Eliiyi, and Esra Ekinci. Dry port site selection in Türkiye: Spatial and optimization-based analysis. Research in Transportation Business & Management, 66:101596, March 2026. [ DOI<http://dx.doi.org/10.1016/j.rtbm.2026.101596> ]
%%%%%%%%% OLDER%%%%%%%%%%%%%
[1] Elisangela Martins de Sá, Reinaldo Morabito, and Ricardo Saraiva de Camargo. Benders decomposition applied to a robust multiple allocation incomplete hub location problem. Computers & Operations Research, 89:31--50, January 2018. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.08.001> ]
[2] Alfredo Marín, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía, and Francisco Saldanha-da Gama. Multi-period stochastic covering location problems: Modeling framework and solution approach. European Journal of Operational Research, 268(2):432--449, July 2018. [ DOI<http://dx.doi.org/10.1016/j.ejor.2018.01.040> ]
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[43] Han Huang. John ellipsoid and the center of mass of a convex body. Discrete & Computational Geometry, 60(4):809--830, September 2018. [ DOI<http://dx.doi.org/10.1007/s00454-017-9924-5> ]
[44] Aaron B. Hoskins and Hugh R. Medal. Stochastic programming solution for placement of satellite ground stations. Annals of Operations Research, 283(1–2):267--288, March 2018. [ DOI<http://dx.doi.org/10.1007/s10479-018-2798-y> ]
[45] Insu Hong, Michael Kuby, and Alan T. Murray. A range-restricted recharging station coverage model for drone delivery service planning. Transportation Research Part C: Emerging Technologies, 90:198--212, May 2018. [ DOI<http://dx.doi.org/10.1016/j.trc.2018.02.017> ]
[46] Stefan Hoffmann, Thomas Kampermann, and Egon Wanke. Minimizing the number of max-power users in ad-hoc wireless networks with minimum node degree requirements. Information Processing Letters, 136:25--29, August 2018. [ DOI<http://dx.doi.org/10.1016/j.ipl.2018.03.015> ]
[47] Hassan Heidari-Fathian and Seyed Hamid Reza Pasandideh. Green-blood supply chain network design: Robust optimization, bounded objective function & Lagrangian relaxation. Computers & Industrial Engineering, 122:95--105, August 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.05.051> ]
[48] Jia He, Hai Yang, Tie-Qiao Tang, and Hai-Jun Huang. An optimal charging station location model with the consideration of electric vehicle’s driving range. Transportation Research Part C: Emerging Technologies, 86:641--654, January 2018. [ DOI<http://dx.doi.org/10.1016/j.trc.2017.11.026> ]
[49] Xiaozhou He, Zhihui Liu, Bing Su, Yinfeng Xu, Feifeng Zheng, and Binhai Zhu. Efficient algorithms for computing one or two discrete centers hitting a set of line segments. Journal of Combinatorial Optimization, 37(4):1408--1423, November 2018. [ DOI<http://dx.doi.org/10.1007/s10878-018-0359-6> ]
[50] Qiao-Chu He and Tao Hong. Integrated facility location and production scheduling in multi-generation energy systems. Operations Research Letters, 46(1):153--157, January 2018. [ DOI<http://dx.doi.org/10.1016/j.orl.2017.12.001> ]
[51] Aliakbar Hasani and Hadi Mokhtari. Redesign strategies of a comprehensive robust relief network for disaster management. Socio-Economic Planning Sciences, 64:92--102, December 2018. [ DOI<http://dx.doi.org/10.1016/j.seps.2018.01.003> ]
[52] Mahdi Hamzeei and James Luedtke. Service network design with equilibrium-driven demands. IISE Transactions, 50(11):959--969, October 2018. [ DOI<http://dx.doi.org/10.1080/24725854.2018.1479900> ]
[53] Mostafa Hajiaghaei-Keshteli and Amir Mohammad Fathollahi-Fard. A set of efficient heuristics and metaheuristics to solve a two-stage stochastic bi-level decision-making model for the distribution network problem. Computers & Industrial Engineering, 123:378--395, September 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.07.009> ]
[54] M.K. Khakim Habibi, Hamid Allaoui, and Gilles Goncalves. Collaborative hub location problem under cost uncertainty. Computers & Industrial Engineering, 124:393--410, October 2018. [ DOI<http://dx.doi.org/10.1016/j.cie.2018.07.028> ]
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30 Mar '26
Dear colleagues,
I would like to draw your attention to the following event:
Zaragoza Logistics Center (ZLC), a higher-education institution affiliated with the Massachusetts Institute of Technology (MIT) and the University of Zaragoza (Spain) is organizing an intensive two-week program designed for PhD students and young researchers in Logistics, Supply Chain Management, Operations Research, Industrial Engineering, Management Science, AI, Statistics, and Data-driven Decision Making.
From June 1-11, 2026, in Zaragoza, Spain, the PhD Summer Academy will offer an exceptional opportunity to advance doctoral research with rigorous, state-of-the-art methodologies and engage with world-class faculty.
Participants will delve into cutting-edge topics presented by leading experts:
* Freight Transport and Distribution: Concepts and Optimization Models (Tolga Bektaş, University of Liverpool, UK)
* Data-driven Optimization (Stefan Minner, Technical University of Munich, Germany)
* Supply Chain Network Design Problems: Recent Approaches and Emerging Trends (Teresa Melo, Saarland University of Applied Sciences, Germany)
* Humanitarian and Emergency Response Logistics (Ozlem Ergun, Northeastern University, USA)
Details about the program and the application process are available at: https://www.zlc.edu.es/education/phd-summer-academy/
Kind regards
Teresa
Prof. Dr. Teresa Melo
Business School
Saarland University of Applied Sciences (htw saar)
Waldhausweg 14
D 66123 Saarbruecken
Germany
Tel.: +49 681 58 67 - 588
Email: teresa.melo(a)htwsaar.de<mailto:teresa.melo@htwsaar.de>
Web: www.htwsaar.de<http://www.htwsaar.de/>
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Dear colleagues,
We are organizing two courses in Edinburgh:
* NATCOR Course on Convex Optimization, 8-12 June 2026.
* NATCOR Course on Optimization Under Uncertainty, 15-19 June 2026.
The courses are aimed mostly at (but not restricted to) Ph.D. students
doing research in operational research and related areas (business
analytics, engineering, computer science).
Both courses will start with an introduction to the topic, moving on to
more advanced state-of-the-art concepts and with an important emphasis
on applications. Being full-week courses which include several social
activities, it is a great opportunity to network with peer Ph.D.
students and with the teaching team, consisting of world-leading experts
on the area.
Teaching teams are:
* Convex Optimization: Miguel Anjos (University of Edinburgh, UK),
Julian Hall (HIGHS/University of Edinburgh, UK), Tamás Terlaky (Lehigh
University, USA), Margherita Porcelli (University of Florence, Italy),
Alper Yildirim (University of Edinburgh, UK), and Filippo Zanetti
(HIGHS/University of Edinburgh, UK).
* Optimization Under Uncertainty: Kerem Akartunali (University of
Strathclyde, UK), Merve Bodur (University of Edinburgh, UK), Vinh Doan
(University of Warwick, UK), Nalan Gulpinar (Durham University, UK), and
Francesca Maggioni (University of Bergamo, Italy).
Note that, very conveniently, the courses are back-to-back, and the
Convex Optimization course follows the SIAM Conference on Optimization,
also held in Edinburgh from June 2 to June 5.
More details on the courses and registration, including the course
schedule and topics covered, can be found at
https://www.natcor.ac.uk/courses/.
Since capacity is limited, early registration is strongly encouraged.
Kind regards,
Sergio García Quiles
Reader in Operational Research
School of Mathematics
University of Edinburgh, UK
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
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