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September 2026

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Location related references Collection September 2026
by Frank Plastria 06 Sep '26

06 Sep '26

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. 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