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> ]