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. 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