Hi there,
Here is my list of references for July 2023, both in html and attached as bibtex. It covers a good part of 2022 and some earlier ones.
Enjoy, Frank.
[1] Tammy Drezner, Morton O'Kelly, and Zvi Drezner. Multipurpose shopping trips and location. Annals of Operations Research, 321(1-2):191--208, sep 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-022-04946-3 ] [2] Cristian Duran-Mateluna, Zacharie Ales, and Sourour Elloumi. An efficient benders decomposition for the p-median problem. European Journal of Operational Research, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.ejor.2022.11.033 ] [3] İbrahim Miraç Eligüzel, Eren Özceylan, and Gerhard-Wilhelm Weber. Location-allocation analysis of humanitarian distribution plans: a case of united nations humanitarian response depots. Annals of Operations Research, 324(1-2):825--854, aug 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-022-04886-y ] [4] Pascual Fernández, Algirdas Lančinskas, Blas Pelegrín, and Julius Žilinskas. A discrete competitive facility location model with proportional and binary rules sequentially applied. Optimization Letters, 17(4):867--877, oct 2022. [ DOIhttp://dx.doi.org/10.1007/s11590-022-01938-x ] [5] Xiao Fu, Youqi Wu, Di Huang, and Jianjun Wu. An activity-based model for transit network design and activity location planning in a three-party game framework. Transportation Research Part E: Logistics and Transportation Review, 168:102939, dec 2022. [ DOIhttp://dx.doi.org/10.1016/j.tre.2022.102939 ] [6] Hao Fu, William H.K. Lam, Hu Shao, Wei Ma, Bi Yu Chen, and H.W. Ho. Optimization of multi-type sensor locations for simultaneous estimation of origin-destination demands and link travel times with covariance effects. Transportation Research Part B: Methodological, 166:19--47, dec 2022. [ DOIhttp://dx.doi.org/10.1016/j.trb.2022.10.006 ] [7] Nemat Ghafari and M. A. Yaghoobi. An algorithm for a multicriteria optimization problem and its application to a facility location problem. Journal of Mahani Mathematical Research, 2022. [ DOIhttp://dx.doi.org/10.22103/jmmr.2022.19734.1282 ] [8] Matthias Grot, Luis Nagel, Tristan Becker, Pia Mareike Fiebrandt, and Brigitte Werners. Fairness or efficiency-managing this conflict in emergency medical services location planning. Computers & Industrial Engineering, 173:108664, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.cie.2022.108664 ] [9] Yan Gu, Jianlin Jiang, Liyun Ling, Yibing Lv, and Su Zhang. A variational inequality-based location-allocation algorithm for locating multiple interactive facilities. Asia-Pacific Journal of Operational Research, jan 2022. [ DOIhttp://dx.doi.org/10.1142/s0217595922400103 ] [10] P. Haghshenas, R. Sahraeian, and A. M. Golmohammadi. A state-of-the-art model of location, inventory, and pricing problem in the closed-loop supply chain network. International Journal of Engineering, 35(8):1558--1570, 2022. [ DOIhttp://dx.doi.org/10.5829/ije.2022.35.08b.12 ] [11] Timothy L. Hamilton and Amit Eynan. Siting noxious facilities: Efficiency and majority rule decisions. European Journal of Operational Research, dec 2022. [ DOIhttp://dx.doi.org/10.1016/j.ejor.2022.12.007 ] [12] François Hamonic, Cécile Albert, Basile Couëtoux, and Yann Vaxès. Optimizing the ecological connectivity of landscapes. Networks, nov 2022. [ DOIhttp://dx.doi.org/10.1002/net.22131 ] [13] Jianlin Jiang, Liyun Ling, Yan Gu, Su Zhang, and Yibing Lv. Customized alternating direction methods of multipliers for generalized multi-facility Weber problem. Journal of Optimization Theory and Applications, 196(1):362--389, nov 2022. [ DOIhttp://dx.doi.org/10.1007/s10957-022-02133-9 ] [14] Pawel Kalczynski, Atsuo Suzuki, and Zvi Drezner. Obnoxious facility location in multiple dimensional space. TOP, 31(2):331--354, aug 2022. [ DOIhttp://dx.doi.org/10.1007/s11750-022-00640-6 ] [15] Sumin Kang and Manish Bansal. Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set. Networks, 81(1):3--22, jun 2022. [ DOIhttp://dx.doi.org/10.1002/net.22114 ] [16] Mostafa Khatami and Amir Salehipour. The gradual minimum covering location problem. Journal of the Operational Research Society, 74(4):1092--1104, apr 2022. [ DOIhttp://dx.doi.org/10.1080/01605682.2022.2056533 ] [17] Dongyung Kim. Computational optimized monitoring methodology to avoid crowd crush accidents with scattered data. AppliedMath, 2(4):711--720, dec 2022. [ DOIhttp://dx.doi.org/10.3390/appliedmath2040042 ] [18] Helene Krieg, Tobias Seidel, Jan Schwientek, and Karl-Heinz Küfer. Solving continuous set covering problems by means of semi-infinite optimization. Mathematical Methods of Operations Research, 96(1):39--82, mar 2022. [ DOIhttp://dx.doi.org/10.1007/s00186-022-00776-y ] [19] Sven O. Krumke and Huy Minh Le. 2-approximation algorithm for minmax absolute maximum lateness scheduling-location problem. Operations Research Letters, 50(6):732--737, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.orl.2022.11.001 ] [20] Yusuf Kuvvetli. A goal programming model for two-stage COVID19 test sampling centers location-allocation problem. Central European Journal of Operations Research, 31(1):1--20, apr 2022. [ DOIhttp://dx.doi.org/10.1007/s10100-022-00797-2 ] [21] Torbjörn Larsson and Nils-Hassan Quttineh. Column generation extensions of set covering greedy heuristics. Operations Research Letters, 50(6):738--744, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.orl.2022.10.014 ] [22] Songhua Li, Minming Li, Lingjie Duan, and Victor C. S. Lee. Online algorithms for the maximum k-interval coverage problem. Journal of Combinatorial Optimization, 44(5):3364--3404, sep 2022. [ DOIhttp://dx.doi.org/10.1007/s10878-022-00898-3 ] [23] Sijing Liu, Nannan He, Xindan Cao, Guoqi Li, and Ming Jian. Logistics cluster and its future development: A comprehensive research review. Transportation Research Part E: Logistics and Transportation Review, 168:102974, dec 2022. [ DOIhttp://dx.doi.org/10.1016/j.tre.2022.102974 ] [24] Tianqi Liu, Francisco Saldanha da Gama, Shuming Wang, and Yuchen Mao. Robust stochastic facility location: Sensitivity analysis and exact solution. INFORMS Journal on Computing, 34(5):2776--2803, sep 2022. [ DOIhttp://dx.doi.org/10.1287/ijoc.2022.1206 ] [25] Li Luo, Xinying Wan, and Qingyi Wang. A multi-period location-allocation model for integrated management of emergency medical supplies and infected patients during epidemics. Computers & Industrial Engineering, 173:108640, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.cie.2022.108640 ] [26] Weicong Luo, Jing Yao, Richard Mitchell, Xiaoxiang Zhang, and Wenqiang Li. Locating emergency medical services to reduce urban-rural inequalities. Socio-Economic Planning Sciences, page 101416, aug 2022. [ DOIhttp://dx.doi.org/10.1016/j.seps.2022.101416 ] [27] Guodong Lyu and Chung-Piaw Teo. Last mile innovation: The case of the locker alliance network. Manufacturing & Service Operations Management, 24(5):2425--2443, sep 2022. [ DOIhttp://dx.doi.org/10.1287/msom.2021.1000 ] [28] Panagiotis Mitropoulos, Emmanuel Adamides, and Ioannis Mitropoulos. Redesigning a network of primary healthcare centres using system dynamics simulation and optimisation. Journal of the Operational Research Society, 74(2):574--589, jul 2022. [ DOIhttp://dx.doi.org/10.1080/01605682.2022.2096499 ] [29] Faezeh Mohammadipour, Maghsoud Amiri, Iman Raeesi Vanani, and Jahanyar Bamdad Soofi. A model for location-assortment problem in a competitive environmen. International Journal of Industrial Engineering Computations, 13(4):641--660, 2022. [ DOIhttp://dx.doi.org/10.5267/j.ijiec.2022.5.002 ] [30] Carlos A. Moreno-Camacho, Jairo R. Montoya-Torres, and Anicia Jaegler. Sustainable supply chain network design: a study of the colombian dairy sector. Annals of Operations Research, 324(1-2):573--599, jan 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-021-04463-9 ] [31] Basma Mostafa, Miklos Molnar, Mohamed Saleh, Abderrahim Benslimane, and Sally Kassem. Optimal proactive monitor placement & scheduling for IoT networks. Journal of the Operational Research Society, 73(11):2431--2450, jan 2022. [ DOIhttp://dx.doi.org/10.1080/01605682.2021.1992310 ] [32] A. Navarro-Ramos. A new approach to agglomeration problems. Operations Research Letters, 50(6):639--645, nov 2022. [ DOIhttp://dx.doi.org/10.1016/j.orl.2022.09.005 ] [33] Jose Martino Neto, Valerio Antonio Pamplona Salomon, Miguel Angel Ortiz-Barrios, and Antonella Petrillo. Compatibility and correlation of multi-attribute decision making: a case of industrial relocation. Annals of Operations Research, 326(2):831--852, feb 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-022-04603-9 ] [34] Andreas Nienkötter and Xiaoyi Jiang. Kernel-based generalized median computation for consensus learning. 2022. [ DOIhttp://dx.doi.org/10.48550/ARXIV.2209.10208 ] [35] Javier Arturo Orjuela-Castro, Juan Pablo Orejuela-Cabrera, and Wilson Adarme-Jaimes. Multi-objective model for perishable food logistics networks design considering availability and access. OPSEARCH, 59(4):1244--1270, aug 2022. [ DOIhttp://dx.doi.org/10.1007/s12597-022-00594-0 ] [36] Antoine Oustry, Marion Le Tilly, Thomas Clausen, Claudia DAmbrosio, and Leo Liberti. Optimal deployment of indoor wireless local area networks. Networks, 81(1):23--50, jul 2022. [ DOIhttp://dx.doi.org/10.1002/net.22116 ] [37] Guillermo Owen and Francesc Carreras. Spatial games and endogenous coalition formation. Annals of Operations Research, 318(2):1095--1115, jan 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-021-04493-3 ] [38] Irmak Ozdemir, Cagla F. Dursunoglu, Bahar Y. Kara, and Manoj Dora. Logistics of temporary testing centers for coronavirus disease. Transportation Research Part C: Emerging Technologies, 145:103954, dec 2022. [ DOIhttp://dx.doi.org/10.1016/j.trc.2022.103954 ] [39] Gajanan B. Panchal, Hassan Mirzahosseinian, Sunil Tiwari, Ajay Kumar, and Sachin Kumar Mangla. Supply chain network redesign problem for major beverage organization in ASEAN region. Annals of Operations Research, 324(1-2):1067--1098, feb 2022. [ DOIhttp://dx.doi.org/10.1007/s10479-022-04571-0 ] [40] Artem A. Panin and Alexandr V. Plyasunov. The multilevel facility location and pricing problems: the computational complexity and the stability analysis. Optimization Letters, 17(6):1295--1315, oct 2022. [ DOIhttp://dx.doi.org/10.1007/s11590-022-01924-3 ] [41] Youngsoo Park, Sangyoon Lee, Inkyung Sung, Peter Nielsen, and Ilkyeong Moon. Facility location-allocation problem for emergency medical service with unmanned aerial vehicle. IEEE Transactions on Intelligent Transportation Systems, pages 1--15, 2022. [ DOIhttp://dx.doi.org/10.1109/tits.2022.3223509 ] [42] K. Y. Chang, C. M. Su, G. E. Jan, and C. P. Chen. An efficient method for single-facility location and path-connecting problems in a cell map. International Journal of Geographical Information Science, 27(10):2060--2076, oct 2013. [ DOIhttp://dx.doi.org/10.1080/13658816.2013.820830 ] [43] Balázs Bánhelyi, Endre Palatinus, and Balázs L. Lévai. Optimal circle covering problems and their applications. Central European Journal of Operations Research, 23(4):815--832, sep 2014. [ DOIhttp://dx.doi.org/10.1007/s10100-014-0362-7 ] [44] Stephanie A. Snyder and Robert G. Haight. Application of the maximal covering location problem to habitat reserve site selection. International Regional Science Review, 39(1):28--47, sep 2014. [ DOIhttp://dx.doi.org/10.1177/0160017614551276 ] [45] José Fernández, Juana L. Redondo, Aránzazu G. Arrondo, and Pilar M. Ortigosa. A triobjective model for locating a public semiobnoxious facility in the plane. Mathematical Problems in Engineering, 2015:1--12, 2015. [ DOIhttp://dx.doi.org/10.1155/2015/631872 ] [46] Ting L. Lei, Richard L. Church, and Zhen Lei. A unified approach for location-allocation analysis: integrating GIS, distributed computing and spatial optimization. International Journal of Geographical Information Science, 30(3):515--534, may 2015. [ DOIhttp://dx.doi.org/10.1080/13658816.2015.1041959 ] [47] Han Shih. Facility location decisions based on driving distances on spherical surface. American Journal of Operations Research, 05(05):450--492, 2015. [ DOIhttp://dx.doi.org/10.4236/ajor.2015.55037 ] [48] Wenbin Zhu, Zhixing Luo, Andrew Lim, and Wee-Chong Oon. A fast implementation for the 2d/3d box placement problem. Computational Optimization and Applications, 63(2):585--612, aug 2015. [ DOIhttp://dx.doi.org/10.1007/s10589-015-9780-2 ] [49] Lucia Cazabal-Valencia, Santiago-Omar Caballero-Morales, and José-Luís Martínez-Flores. Logistic model for the facility location problem on ellipsoids. International Journal of Engineering Business Management, 8:184797901666897, jan 2016. [ DOIhttp://dx.doi.org/10.1177/1847979016668979 ] [50] Zvi Drezner, Carlton H. Scott, and John Turner. Mixed planar and network single-facility location problems. Networks, 68(4):271--282, aug 2016. [ DOIhttp://dx.doi.org/10.1002/net.21698 ] [51] Marcia Fampa, Jon Lee, and Wendel Melo. A specialized branch-and-bound algorithm for the euclidean steiner tree problem in n-space. Computational Optimization and Applications, 65(1):47--71, feb 2016. [ DOIhttp://dx.doi.org/10.1007/s10589-016-9835-z ] [52] Virgilio C. Guzmán, David A. Pelta, and José L. Verdegay. An approach for solving maximal covering location problems with fuzzy constraints. International Journal of Computational Intelligence Systems, 9(4):734, 2016. [ DOIhttp://dx.doi.org/10.1080/18756891.2016.1204121 ] [53] Filippo Pecci, Edo Abraham, and Ivan Stoianov. Penalty and relaxation methods for the optimal placement and operation of control valves in water supply networks. Computational Optimization and Applications, 67(1):201--223, dec 2016. [ DOIhttp://dx.doi.org/10.1007/s10589-016-9888-z ] [54] Bahram Saeidian, Mohammad Saadi Mesgari, and Mostafa Ghodousi. Evaluation and comparison of genetic algorithm and bees algorithm for location-allocation of earthquake relief centers. International Journal of Disaster Risk Reduction, 15:94--107, mar 2016. [ DOIhttp://dx.doi.org/10.1016/j.ijdrr.2016.01.002 ] [55] Wenting Zhang, Kai Cao, Shaobo Liu, and Bo Huang. A multi-objective optimization approach for health-care facility location-allocation problems in highly developed cities such as hong kong. Computers, Environment and Urban Systems, 59:220--230, sep 2016. [ DOIhttp://dx.doi.org/10.1016/j.compenvurbsys.2016.07.001 ]
Prof. Em. Frank Plastria BUTO, Vrije Universiteit Brussel frank.plastria@vub.be