Ewgla

Download

ewgla@mail.euro-online.org

June 2026

1 participants
1 discussions

Location related references Collection June 2026
by Frank Plastria 05 Jun '26

05 Jun '26

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 0