Dear fellow locater, Here is my August collection: 100 more references, over one third of these (39) very recent new ones published in 2025, almost one third (28) starting my 2020 collection and the remaining third from the years in between. Note, however that this count may be slightly off and depends on the definition: either the first online date, or the publication date in a volume! Enjoy also your summer Sincerely Frank Prof. Em. Frank Plastria BUTO, Vrije Universiteit Brussel %%%%%%%%%%%%%%%%%%%%%%%%%%% [1] Zacharie Ales, Cristian Duran-Mateluna, and Sourour Elloumi. A rounding and clustering-based exact algorithm for the p-center problem. Computers & Operations Research, 183:107185, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107185> ] [2] Ousmane Ali, Jean-François Côté, and Leandro C. Coelho. Integrated and sequential algorithms for the robust two-echelon location-routing problem under demand uncertainty. Computers & Operations Research, 183:107198, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107198> ] [3] Víctor Blanco, Gabriel González, and Justo Puerto. Fixed topology minimum-length trees with neighborhoods: A Steiner tree based approach. Computers & Industrial Engineering, 207:111331, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111331> ] [4] Azam Boskabadi, Uthman Abiola Kareem, Jay Michael Rosenberger, Mohsen Shahandashti, and Binaya Pudasaini. A two-stage stochastic programming approach for enhancing seismic resilience of water pipe networks. Computers & Industrial Engineering, 207:111266, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111266> ] [5] R.J.W. Buijs, R.D. van der Mei, E.R. Dugundji, and S. Bhulai. An effective aggregation heuristic for capacitated facility location problems with many demand points. Computers & Operations Research, 183:107153, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107153> ] [6] Pamela Bustamante-Faúndez, Víctor Bucarey L., Martine Labbé, Vladimir Marianov, and Fernando Ordoñez. Novel valid inequalities and branch-and-price for Stackelberg security games. Computers & Operations Research, 183:107122, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107122> ] [7] Hamza Chokri, Issam Nouaouri, Hamid Allaoui, and Frida Ben Rais Lasram. Agri-food supply chain network design: A comprehensive review and future research directions. Computers & Industrial Engineering, 207:111203, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111203> ] [8] Ante Ćustić, Wei Yang, Yang Wang, and Abraham P. Punnen. The independent quadratic assignment problem: complexity and polynomially solvable special cases. Journal of Combinatorial Optimization, 49(5):70, May 2025. [ DOI<http://dx.doi.org/10.1007/s10878-025-01302-6> ] [9] Katharina Eberhardt, Patricia Fuchß, Florian Klaus Kaiser, Sonja Rosenberg, and Frank Schultmann. Stochastic network optimization for strategic resource pre-positioning and allocation. International Journal of Production Economics, 287:109679, September 2025. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2025.109679> ] [10] Jiazhu Fang, Qizhi Fang, Wenjing Liu, Qingqin Nong, and Alexandros A. Voudouris. Mechanism design with predictions for facility location games with candidate locations. Journal of Combinatorial Optimization, 49(5):74, May 2025. [ DOI<http://dx.doi.org/10.1007/s10878-025-01310-6> ] [11] Bruna Figueiredo, Rui Borges Lopes, and Amaro de Sousa. Location–routing problems with sustainability and resilience concerns: A systematic review. Logistics, 9(3):81, June 2025. [ DOI<http://dx.doi.org/10.3390/logistics9030081> ] [12] Arezoo Ghasemi and Ghanshyam G. Tejani. A new optimization algorithm based on the integration of reinforcement learning and HHO algorithm for virtual machine placement in cloud data centers. Computing, 107(6):145, June 2025. [ DOI<http://dx.doi.org/10.1007/s00607-025-01493-0> ] [13] Begoña González, Diego Rossit, Mariano Frutos, and Máximo Méndez. Modeling and solving an integrated periodic vehicle routing and capacitated facility location problem in the context of solid waste collection. Annals of Operations Research, 350(3):979--1015, May 2025. [ DOI<http://dx.doi.org/10.1007/s10479-025-06626-4> ] [14] Weiwei Guo, Wei-Guo Zhang, Zaiwu Gong, Xiaoxia Xu, Xiaoqing Chen, and Yong-Jun Liu. Multi-dimensional minimum cost consensus model and its application in the location problem of industrial agglomeration zone. Expert Systems with Applications, 264:125807, March 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.125807> ] [15] Shuyuan Guo, Hongtao Hu, Lu Zhen, and Xinyue Guo. A location-inventory model for perishable product supply chain network considering dual-channel retailing and quality degradation under front warehouse mode. Computers & Industrial Engineering, 207:111328, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111328> ] [16] Fatima Harrouz, Mohammed Omari, and Mohammed Kaddi. Clustering in wireless sensor networks using K-means for cluster formation: Review. In Vikrant Bhateja, Vazeerudeen Abdul Hameed, Siba K. Udgata, and Ahmad Taher Azar, editors, Innovations in Communication Networks: Sustainability for Societal and Industrial Impact, Proceedings of 5th International Conference on Data Engineering and Communication Technology (ICDECT 2024), Volume 4, pages 329--342. Springer Nature Singapore, 2025. [ DOI<http://dx.doi.org/10.1007/978-981-96-5223-5_27> ] [17] Dongdong He, Qingyun Tian, Yun Hui Lin, and Yitong Yu. Bilevel competitive facility location and design under a nested logit model. Computers & Operations Research, 183:107146, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107146> ] [18] Amin Hosseini and Alireza Goli. Energy-aware dual-channel agricultural supply chain network design under uncertainty. Computers & Industrial Engineering, 207:111294, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111294> ] [19] Qing-Mi Hu and Shaolong Hu. Single allocation hub location problems with congestion: Mixed-integer second-order cone programming and Benders decomposition. Transportation Research Part E: Logistics and Transportation Review, 201:104285, September 2025. [ DOI<http://dx.doi.org/10.1016/j.tre.2025.104285> ] [20] Shuo Huang, Yaoxin Wu, Zhiguang Cao, and Xuexi Zhang. A deep reinforcement learning method for solving two-echelon location-routing problem. Computers & Operations Research, 183:107210, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107210> ] [21] Lei Jiao, Zhihong Peng, Miao Guo, Shuxin Ding, and Jinqiang Cui. Location routing problem with interdependent mobile depot operations for post-disaster relief. Expert Systems with Applications, 286:128037, August 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2025.128037> ] [22] Raka Jovanovic and Dragan Urošević. Efficient mixed integer programming formulation for the uncapacitated r-allocation p-hub center problem. In Vikrant Bhateja, Vazeerudeen Abdul Hameed, Siba K. Udgata, and Ahmad Taher Azar, editors, Innovations in Communication Networks: Sustainability for Societal and Industrial Impact, Proceedings of 5th International Conference on Data Engineering and Communication Technology (ICDECT 2024), Volume 4, pages 277--289. Springer Nature Singapore, 2025. [ DOI<http://dx.doi.org/10.1007/978-981-96-5223-5_23> ] [23] Julien Khamphousone, Fabian Castaño, André Rossi, and Sonia Toubaline. A resilient variant of the ring star problem. Networks, 86(2):199--219, May 2025. [ DOI<http://dx.doi.org/10.1002/net.22285> ] [24] Zahra Karimi Mehrabadi, Mehdi Fartash, and Javad Akbari Torkestani. An energy-aware virtual machine placement method in cloud data centers based on improved Harris Hawks optimization algorithm. Computing, 107(6), May 2025. [ DOI<http://dx.doi.org/10.1007/s00607-025-01488-x> ] [25] Ehsan Mirzaei, Ehsan Nikbakhsh, and Ali Husseinzadeh Kashan. Accelerated Benders decomposition algorithm for the reliable service network design problem under disruption. Computers & Industrial Engineering, 207:111234, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111234> ] [26] Ankan Mitra, Jorge A. Sefair, Tony H. Grubesic, Edward Helderop, Jake R. Nelson, Elisa J. Bienenstock, Anthony Palladino, Andrew Valenti, and Julia Mertens. An optimization approach for biosurveillance in wastewater networks. IISE Transactions, 57(10):1182--1197, January 2025. [ DOI<http://dx.doi.org/10.1080/24725854.2024.2432410> ] [27] Zhiyong Qiu and Yuanbin Mo. Location planning of flexible direct-current interconnection control device for distribution network based on optimal power flow. Expert Systems with Applications, 294:128771, December 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2025.128771> ] [28] Shabnam Rekabi, Zeinab Sazvar, Reza Tavakkoli-Moghaddam, and Alexandre Dolgui. Developing a green multi-modal dry port-seaport logistics network enhanced by the internet of things and machine learning. Computers & Industrial Engineering, 207:111270, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111270> ] [29] Ruri Sase, Satoshi Sugiura, and Anthony Chen. Optimized graph-cut approach for the screen-line traffic counting location problem: An exact and efficient solution method. Expert Systems with Applications, 275:127000, May 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2025.127000> ] [30] Khaled Mostafa Shah, Sibel A. Alumur, and James H. Bookbinder. Holding inventory for shipment consolidation in hub location modeling. Computers & Industrial Engineering, 207:111279, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111279> ] [31] Felipe O. Simoyama, Kevin M. Curtin, Silvana Croope, Luiz Leduino de Salles Neto, and Leonardo Bacelar Lima Santos. Semivariogram-based distance function for gradual coverage location models. Expert Systems with Applications, 267:126167, April 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.126167> ] [32] Šárka Štádlerová, Peter Schütz, and Sanjay Dominik Jena. Solving multi-stage stochastic facility location problems with modular capacity adjustments. Computers & Operations Research, 183:107200, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107200> ] [33] Anastasiia Timofeeva and Tatiana Avdeenko. Optimal collapsing levels in one-way ANOVA: Agglomerative merging algorithms and mixed integer linear programming. In Yury Kochetov, Michael Khachay, Anton Eremeev, and Panos Pardalos, editors, Mathematical Optimization Theory and Operations Research, 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 7–11, 2025, Proceedings, pages 389--404. Springer Nature Switzerland, 2025. [ DOI<http://dx.doi.org/10.1007/978-3-031-97077-1_27> ] [34] Xinjie Wan, Hao Pu, Taoran Song, Paul Schonfeld, Yang Ran, Wei Li, and Jianping Hu. An event tree-based distance transform algorithm for simultaneously determining mountain railway alignments and station locations. Expert Systems with Applications, 261:125575, February 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.125575> ] [35] Zhuolin Wang, Kanglin Liu, Keyou You, and Zhengli Wang. Wasserstein distributionally robust facility location and capacity planning for disaster relief. Expert Systems with Applications, 272:126647, May 2025. [ DOI<http://dx.doi.org/10.1016/j.eswa.2025.126647> ] [36] Qi Wang, Bo Hou, Gengsheng Zhang, Yisheng Zhou, and Wen Liu. Approximation algorithms for the partition set cover problem with penalties. Journal of Combinatorial Optimization, 49(5):76, May 2025. [ DOI<http://dx.doi.org/10.1007/s10878-025-01317-z> ] [37] Maarten Wens and Pieter Vansteenwegen. A decentralised genetic algorithm with sub-objectives for the transit network design problem. Computers & Operations Research, 183:107191, November 2025. [ DOI<http://dx.doi.org/10.1016/j.cor.2025.107191> ] [38] Guiqin Xue and Zheng Wang. The emergency location-routing problem with facilities sharing and evacuation. Computers & Industrial Engineering, 207:111321, September 2025. [ DOI<http://dx.doi.org/10.1016/j.cie.2025.111321> ] [39] Yifan Zhao, Guangliang Xi, Haiping Zhang, and Feng Zhen. Optimization site selection for online-to-offline convenience facilities using knowledge graph and graph neural network: A case study of Nanjing, China. Applied Spatial Analysis and Policy, 18(2):57, May 2025. [ DOI<http://dx.doi.org/10.1007/s12061-025-09662-6> ] [40] Tom Binsfeld, Sadeque Hamdan, Oualid Jouini, and Johannes Gast. On the optimization of green multimodal transportation: a case study of the West German canal system. Annals of Operations Research, 351(1):667--726, June 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06075-5> ] [41] Jack Brimberg and Zvi Drezner. Less is more: adjusting convergence of Cooper’s algorithm in the continuous location-allocation problem. Journal of the Operational Research Society, 76(8):1599--1611, November 2024. [ DOI<http://dx.doi.org/10.1080/01605682.2024.2425684> ] [42] Marcus Vinicius Oliveira Camara, Thayse Ferrari, and Glaydston Mattos Ribeiro. Modified NSGA-II for solving bi-objective support unit location problem to assist roadside traffic survey with multi-stages. Expert Systems with Applications, 249:123448, September 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.123448> ] [43] Ankit Chouksey, Anil Kumar Agrawal, and Ajinkya N. Tanksale. Accelerated Bender’s decomposition algorithm and hybrid heuristics for multi-period planning of maternal healthcare facilities in India. Journal of the Operational Research Society, 76(7):1299--1318, November 2024. [ DOI<http://dx.doi.org/10.1080/01605682.2024.2431980> ] [44] Soumen Kumar Das, Vincent F. Yu, Sankar Kumar Roy, and Gerhard Wilhelm Weber. Location–allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach. Expert Systems with Applications, 238:122174, March 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.122174> ] [45] Wei Ding, Guangting Chen, Ke Qiu, and Yu Zhou. Parameterized approximations for the minimum diameter vertex-weighted Steiner tree problem in graphs with parameterized weights. Asia-Pacific Journal of Operational Research, 42(04):2450025, October 2024. [ DOI<http://dx.doi.org/10.1142/s0217595924500258> ] [46] Imanol Gago-Carro, Unai Aldasoro, Josu Ceberio, and María Merino. A stochastic programming model for ambulance (re)location–allocation under equitable coverage and multi-interval response time. Expert Systems with Applications, 249:123665, September 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.123665> ] [47] José Emmanuel Gómez-Rocha, Eva Selene Hernández-Gress, José-Fernando Camacho-Vallejo, and Cipriano Santos. An enhanced Benders decomposition method and a matheuristic algorithm for solving the stochastic capacitated facility location problem with shortages. Expert Systems with Applications, 255:124802, December 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2024.124802> ] [48] Rui S. Shibasaki, Mourad Baïou, Francisco Barahona, Philippe Mahey, and Maurício C. de Souza. Volume-based branch-and-cut algorithm for large-scale fixed-charge multicommodity network design. Annals of Operations Research, 351(1):133--166, October 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06303-y> ] [49] G. Sophia Jasmine, Rajasekaran Stanislaus, N Manoj Kumar, and Thangamuthu Logeswaran. Optimal location for an EVPL and capacitors in grid for voltage profile and power loss: FHO-SNN approach. Expert Systems with Applications, 239:121980, April 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.121980> ] [50] Xenofon Taouktsis and Christos Zikopoulos. A decision-making tool for the determination of the distribution center location in a humanitarian logistics network. Expert Systems with Applications, 238:122010, March 2024. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.122010> ] [51] Raca Todosijević, Olivera Stančić, Zorica Stanimirović, and Stefan Mišković. General variable neighborhood search for the capacitated single allocation hub maximal covering problem. TOP, 33(2):262--303, September 2024. [ DOI<http://dx.doi.org/10.1007/s11750-024-00685-9> ] [52] Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, and Anil Shende. Dispatching point selection for a drone-based delivery system operating in a mixed Euclidean–Manhattan grid. Annals of Operations Research, 351(1):203--222, June 2023. [ DOI<http://dx.doi.org/10.1007/s10479-023-05458-4> ] [53] Ziwei Dai, Zhiyong Zhang, and Mingzhou Chen. The home health care location-routing problem with a mixed fleet and battery swapping stations using a competitive simulated annealing algorithm. Expert Systems with Applications, 228:120374, October 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.120374> ] [54] Hamidreza Sayarshad. Designing intelligent public parking locations for autonomous vehicles. Expert Systems with Applications, 222:119810, July 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.119810> ] [55] Maocan Song, Lin Cheng, Mingyang Du, Chao Sun, Jie Ma, and Huimin Ge. Charging station location problem for maximizing the space-time-electricity accessibility: A Lagrangian relaxation-based decomposition scheme. Expert Systems with Applications, 222:119801, July 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.119801> ] [56] Emrullah Sonuç and Ender Özcan. An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem. Expert Systems with Applications, 224:119956, August 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.119956> ] [57] Ece Arzu Yıldız, İsmail Karaoğlan, and Fulya Altiparmak. An exact algorithm for two-echelon location-routing problem with simultaneous pickup and delivery. Expert Systems with Applications, 231:120598, November 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.120598> ] [58] Fazhan Zhang, Yichao He, Haibin Ouyang, and Wenben Li. A fast and efficient discrete evolutionary algorithm for the uncapacitated facility location problem. Expert Systems with Applications, 213:118978, March 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.118978> ] [59] Pei Zhang, Zhenji Zhang, Daqing Gong, and Xiangke Cui. A novel normal wiggly hesitant fuzzy multi-criteria group decision making method and its application to electric vehicle charging station location. Expert Systems with Applications, 223:119876, August 2023. [ DOI<http://dx.doi.org/10.1016/j.eswa.2023.119876> ] [60] Yuqiang Feng, Yan-Kui Liu, and Yanju Chen. Distributionally robust location–allocation models of distribution centers for fresh products with uncertain demands. Expert Systems with Applications, 209:118180, December 2022. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.118180> ] [61] Aura M. Jalal, Eli A.V. Toso, Camila P.S. Tautenhain, and Mariá C.V. Nascimento. An integrated location–transportation problem under value-added tax issues in pharmaceutical distribution planning. Expert Systems with Applications, 206:117780, November 2022. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.117780> ] [62] Isaac Lozano-Osorio, Anna Martínez-Gavara, Rafael Martí, and Abraham Duarte. Max–min dispersion with capacity and cost for a practical location problem. Expert Systems with Applications, 200:116899, August 2022. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.116899> ] [63] Mahmoud Owais. Traffic sensor location problem: Three decades of research. Expert Systems with Applications, 208:118134, December 2022. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.118134> ] [64] Chunjian Shang, Liang Ma, Yong Liu, and Shuo Sun. The sorted-waste capacitated location routing problem with queuing time: A cross-entropy and simulated-annealing-based hyper-heuristic algorithm. Expert Systems with Applications, 201:117077, September 2022. [ DOI<http://dx.doi.org/10.1016/j.eswa.2022.117077> ] [65] Soumen Atta, Priya Ranjan Sinha Mahapatra, and Anirban Mukhopadhyay. A multi-objective formulation of maximal covering location problem with customers’ preferences: Exploring Pareto optimality-based solutions. Expert Systems with Applications, 186:115830, December 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.115830> ] [66] Yanru Chen, Decheng Li, Zongcheng Zhang, M.I.M. Wahab, and Yangsheng Jiang. Solving the battery swap station location-routing problem with a mixed fleet of electric and conventional vehicles using a heuristic branch-and-price algorithm with an adaptive selection scheme. Expert Systems with Applications, 186:115683, December 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.115683> ] [67] Ehsan Korani and Alireza Eydi. Bi-level programming model and KKT penalty function solution approach for reliable hub location problem. Expert Systems with Applications, 184:115505, December 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.115505> ] [68] Samuel Nucamendi-Guillén, Alejandra Gómez Padilla, Elias Olivares-Benitez, and J. Marcos Moreno-Vega. The multi-depot open location routing problem with a heterogeneous fixed fleet. Expert Systems with Applications, 165:113846, March 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2020.113846> ] [69] Gabriel Souto, Igor Morais, Geraldo Regis Mauri, Glaydston Mattos Ribeiro, and Pedro Henrique González. A hybrid matheuristic for the two-stage capacitated facility location problem. Expert Systems with Applications, 185:115501, December 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.115501> ] [70] Huali Sun, Yang Wang, Jianghua Zhang, and Wenqian Cao. A robust optimization model for location-transportation problem of disaster casualties with triage and uncertainty. Expert Systems with Applications, 175:114867, August 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.114867> ] [71] Mariano Vargas-Santiago, Raúl Monroy, Chi Zhang, José E. Ramirez-Marquez, and Diana A. León-Velasco. The adaptable Pareto set problem for facility location: A video game approach. Expert Systems with Applications, 186:115682, December 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.115682> ] [72] Weitiao Wu, Wei Zhou, Yue Lin, Yuanqi Xie, and Wenzhou Jin. A hybrid metaheuristic algorithm for location inventory routing problem with time windows and fuel consumption. Expert Systems with Applications, 166:114034, March 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2020.114034> ] [73] Snehanshu Banerjee, Md. Muhib Kabir, Nashid K. Khadem, and Celeste Chavis. Optimal locations for bikeshare stations: A new GIS based spatial approach. Transportation Research Interdisciplinary Perspectives, 4:100101, March 2020. [ DOI<http://dx.doi.org/10.1016/j.trip.2020.100101> ] [74] Thomas Bräunl, David Harries, Mark McHenry, and Guido Wager. Determining the optimal electric vehicle DC-charging infrastructure for Western Australia. Transportation Research Part D: Transport and Environment, 84:102250, July 2020. [ DOI<http://dx.doi.org/10.1016/j.trd.2020.102250> ] [75] C. Cintrano, F. Chicano, and E. Alba. Using metaheuristics for the location of bicycle stations. Expert Systems with Applications, 161:113684, December 2020. [ DOI<http://dx.doi.org/10.1016/j.eswa.2020.113684> ] [76] Jin Fang and Fariborz Y. Partovi. A hits-based model for facility location decision. Expert Systems with Applications, 159:113616, November 2020. [ DOI<http://dx.doi.org/10.1016/j.eswa.2020.113616> ] [77] Pascual Fernández, Algirdas Lančinskas, Blas Pelegrín, and Julius Žilinskas. A discrete competitive facility location model with minimal market share constraints and equity-based ties breaking rule. Informatica, 31(2):205--224, 2020. [ DOI<http://dx.doi.org/10.15388/20-infor410> ] [78] Yaping Fu, Di Wu, Yan Wang, and Hongfeng Wang. Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative. Transportation Research Part A: Policy and Practice, 138:172--186, August 2020. [ DOI<http://dx.doi.org/10.1016/j.tra.2020.05.012> ] [79] C. Gaigné, V. Hovelaque, and Y. Mechouar. Carbon tax and sustainable facility location: The role of production technology. International Journal of Production Economics, 224:107562, June 2020. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2019.107562> ] [80] Hêriş Golpîra. Optimal integration of the facility location problem into the multi-project multi-supplier multi-resource construction supply chain network design under the vendor managed inventory strategy. Expert Systems with Applications, 139:112841, January 2020. [ DOI<http://dx.doi.org/10.1016/j.eswa.2019.112841> ] [81] Javier Guerrero-Lorente, Adriana F. Gabor, and Eva Ponce-Cueto. Omnichannel logistics network design with integrated customer preference for deliveries and returns. Computers & Industrial Engineering, 144:106433, June 2020. [ DOI<http://dx.doi.org/10.1016/j.cie.2020.106433> ] [82] Xiaofeng Guo, Tuo Leng, and Zhenbing Zeng. The Fermat-Torricelli problem of triangles on the sphere with Euclidean metric: A symbolic solution with Maple. In Jürgen Gerhard and Ilias Kotsireas, editors, Maple in Mathematics Education and Research, Third Maple Conference, MC 2019, Waterloo, Ontario, Canada, October 15–17, 2019, Proceedings, pages 263--278. Springer International Publishing, 2020. [ DOI<http://dx.doi.org/10.1007/978-3-030-41258-6_20> ] [83] Vasily V. Gusev. The vertex cover game: Application to transport networks. Omega, 97:102102, December 2020. [ DOI<http://dx.doi.org/10.1016/j.omega.2019.08.009> ] [84] Bayan Hamdan and Ali Diabat. Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation. Transportation Research Part E: Logistics and Transportation Review, 134:101764, February 2020. [ DOI<http://dx.doi.org/10.1016/j.tre.2019.08.005> ] [85] Lu Han, Dachuan Xu, Yicheng Xu, and Dongmei Zhang. Approximating the τ-relaxed soft capacitated facility location problem. Journal of Combinatorial Optimization, 40(3):848--860, August 2020. [ DOI<http://dx.doi.org/10.1007/s10878-020-00631-y> ] [86] Chengjia Han, Tao Ma, Guangji Xu, and Siyu Chen. A multi-factor analysis approach for recycled asphalt mixture stockpile center location. Transportation Research Part D: Transport and Environment, 86:102463, September 2020. [ DOI<http://dx.doi.org/10.1016/j.trd.2020.102463> ] [87] Ana Beatriz Herthel and Anand Subramanian. Optimizing single-finger keyboard layouts on smartphones. Computers & Operations Research, 120:104947, August 2020. 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