Ewgla September 2024

ewgla@mail.euro-online.org

2 participants
2 discussions

October 14, 16.30-17.30 CET, @ the newly created EURO OSS on Operational Research and Machine Learning
by Dolores Romero Morales 25 Sep '24

25 Sep '24

Dear colleagues, EURO – The Association of European Operational Research Societies has a new instrument, the EURO Online Seminar Series (EURO OSS), and we are pleased that on October 14, 16.30-17.30 CET, Prof Anita Schöbel (President of EURO) will open the EURO OSS on Operational Research and Machine Learning, https://euroorml.euro-online.org/, followed by the talk of Prof Bart Baesens on "Using AI for Fraud Detection: Recent Research Insights and Emerging Opportunities". To receive the link to participate online, please join the mailinglist https://forms.gle/YWLb6EPKRQnQert68. The EURO OSS on Operational Research and Machine Learning is an online seminar series with the goal to brand the role of Operational Research in Artificial Intelligence. The format is a weekly session that takes place every Monday, 16.30-17.30 (CET). It is 100% online-access, and it will have leading speakers from Operational Research, as well as neighbouring areas, that will cover important topics such as explainability, fairness, fraud, privacy, etc. We also have the YOUNG EURO OSS on Operational Research and Machine Learning. In each YOUNG session, three junior academics will show their latest results in this burgeoning area. The Online Seminar Series is free thanks to the support given by EURO, as well as Universidad de Sevilla (US) and Copenhagen Business School (CBS). This is gratefully acknowledged. To follow us Website: https://euroorml.euro-online.org/ Link to register mailinglist: https://forms.gle/YWLb6EPKRQnQert68 LinkedIn: https://www.linkedin.com/company/euroorml/ X (formerly Twitter): @euroorml Kind regards, The organizers of the EURO OSS on Operational Research and Machine Learning Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla Thomas Halskov, Copenhagen Business School Dolores Romero Morales, Copenhagen Business School

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Location related references September 2024 collection
by Frank Plastria 20 Sep '24

20 Sep '24

Dear fellow locaters, Sorry for the delay this month: I took two weeks off! Find below my september 24 entry: 63 references all from 2022. This completes my current collection from 22. Soon much more ... from 21 and later. Sincerely Frank Prof. Em. Frank Plastria BUTO, Vrije Universiteit Brussel frank.plastria(a)vub.be %%%%%%%%%%%%%%%%%%%%%%%%%%%%% [1] Chandra Ade Irawan, Muhammad Dan-Asabe Abdulrahman, Said Salhi, and Martino Luis. An efficient matheuristic algorithm for bi-objective sustainable closed-loop supply chain networks. IMA Journal of Management Mathematics, 33(4):603--636, May 2022. [ DOI<http://dx.doi.org/10.1093/imaman/dpac003> ] [2] Giuseppe Arbia, Paolo Berta, and Carrie B. Dolan. Locational error in the estimation of regional discrete choice models using distance as a regressor. The Annals of Regional Science, 69(1):223--238, March 2022. [ DOI<http://dx.doi.org/10.1007/s00168-022-01116-y> ] [3] Jean-Paul Arnaout and John Khoury. Adaptation of WO to the euclidean location-allocation with unknown number of facilities. Annals of Operations Research, 315(1):57--72, May 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04708-1> ] [4] Soumen Atta, Priya Ranjan Sinha Mahapatra, and Anirban Mukhopadhyay. Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches. Computers & Industrial Engineering, 170:108315, August 2022. [ DOI<http://dx.doi.org/10.1016/j.cie.2022.108315> ] [5] Jiwon Baik and Alan T. Murray. Locating a facility to simultaneously address access and coverage goals. Papers in Regional Science, 101(5):1199--1217, July 2022. [ DOI<http://dx.doi.org/10.1111/pirs.12693> ] [6] Kannan Balakrishnan, Manoj Changat, Andreas M. Hinz, and Divya Sindhu Lekha. The median of Sierpiński graphs. Discrete Applied Mathematics, 319:159--170, October 2022. [ DOI<http://dx.doi.org/10.1016/j.dam.2021.02.005> ] [7] Marta Baldomero-Naranjo, Jörg Kalcsics, Alfredo Marín, and Antonio M. Rodríguez-Chía. Upgrading edges in the maximal covering location problem. European Journal of Operational Research, 303(1):14--36, November 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.02.001> ] [8] O. Baturhan Bayraktar, Dilek Günneç, F. Sibel Salman, and Eda Yücel. Relief aid provision to en route refugees: Multi-period mobile facility location with mobile demand. European Journal of Operational Research, 301(2):708--725, September 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2021.11.011> ] [9] Anup Bhattacharya, Yoav Freund, and Ragesh Jaiswal. On the k-means/median cost function. Information Processing Letters, 177:106252, August 2022. [ DOI<http://dx.doi.org/10.1016/j.ipl.2022.106252> ] [10] Giuseppe Bruno, Manuel Cavola, Antonio Diglio, Javier Elizalde, and Carmela Piccolo. A locational analysis of deregulation policies in the Spanish retail pharmaceutical sector. Socio-Economic Planning Sciences, 82:101233, August 2022. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101233> ] [11] José J. Calvino, Miguel López-Haro, Juan M. Muñoz-Ocaña, Justo Puerto, and Antonio M. Rodríguez-Chía. Segmentation of scanning-transmission electron microscopy images using the ordered median problem. European Journal of Operational Research, 302(2):671--687, October 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.01.022> ] [12] Marta Cavaleiro and Farid Alizadeh. A branch-and-bound method for the minimum k−enclosing ball problem. Operations Research Letters, 50(3):274--280, May 2022. [ DOI<http://dx.doi.org/10.1016/j.orl.2022.02.007> ] [13] Yen Hung Chen. Approximability results for the p-centdian and the converse centdian problems. Discrete Mathematics & Theoretical Computer Science, 24, no 2(Discrete Algorithms), November 2022. [ DOI<http://dx.doi.org/10.46298/dmtcs.6877> ] [14] Liting Chen, Sebastian Wandelt, Weibin Dai, and Xiaoqian Sun. Scalable vertiport hub location selection for air taxi operations in a metropolitan region. INFORMS Journal on Computing, 34(2):834--856, March 2022. [ DOI<http://dx.doi.org/10.1287/ijoc.2021.1109> ] [15] Richard L. Church, Zvi Drezner, and Arie Tamir. Extensions to the Weber problem. Computers & Operations Research, 143:105786, July 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105786> ] [16] Hans Daduna. On queueing-inventory-location problems. Annals of Operations Research, 331(2):679--710, July 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04839-5> ] [17] Han Dai, Bin Deng, Weidong Li, and Xiaofei Liu. A note on the minimum power partial cover problem on the plane. Journal of Combinatorial Optimization, 44(2):970--978, June 2022. [ DOI<http://dx.doi.org/10.1007/s10878-022-00869-8> ] [18] Shichuan Deng. Constant approximation for fault-tolerant median problems via iterative rounding. Operations Research Letters, 50(4):384--390, July 2022. [ DOI<http://dx.doi.org/10.1016/j.orl.2022.05.002> ] [19] Wei Ding, Ke Qiu, Yu Zhou, and Zhou Ye. A sifting-edges algorithm for accelerating the computation of absolute 1-center in graphs. Journal of Combinatorial Optimization, 44(2):905--920, May 2022. [ DOI<http://dx.doi.org/10.1007/s10878-022-00866-x> ] [20] Güneş Erdoğan, Maria Battarra, and Antonio M. Rodríguez-Chía. The hub location and pricing problem. European Journal of Operational Research, 301(3):1035--1047, September 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2021.11.048> ] [21] Levent Eriskin and Mumtaz Karatas. Applying robust optimization to the shelter location–allocation problem: a case study for Istanbul. Annals of Operations Research, 339(3):1589--1635, March 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04627-1> ] [22] Jafar Fathali. A row generation method for the inverse continuous facility location problems. Computers & Industrial Engineering, 171:108482, September 2022. [ DOI<http://dx.doi.org/10.1016/j.cie.2022.108482> ] [23] Elisabeth Gaar and Markus Sinnl. A scaleable projection‐based branch‐and‐cut algorithm for the p‐center problem. European Journal of Operational Research, 303(1):78--98, November 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.02.016> ] [24] Houtian Ge, Stephan J. Goetz, Rebecca Cleary, Jing Yi, and Miguel I. Gómez. Facility locations in the fresh produce supply chain: An integration of optimization and empirical methods. International Journal of Production Economics, 249:108534, July 2022. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2022.108534> ] [25] Hadi Ghaderi, Lele Zhang, Pei-Wei Tsai, and Jihoon Woo. Crowdsourced last-mile delivery with parcel lockers. International Journal of Production Economics, 251:108549, September 2022. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2022.108549> ] [26] Nader Ghaffarinasab. Stochastic hub location problems with Bernoulli demands. Computers & Operations Research, 145:105851, September 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105851> ] [27] Niloofar Gilani Larimi, Abolghasem Azhdari, Rouzbeh Ghousi, and Bo Du. Integrating GIS in reorganizing blood supply network in a robust-stochastic approach by combating disruption damages. Socio-Economic Planning Sciences, 82:101250, August 2022. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101250> ] [28] Kagan Gokbayrak. A two-level off-grid electric distribution problem on the continuous space. Computers & Operations Research, 144:105853, August 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105853> ] [29] Sapna Grover, Neelima Gupta, and Samir Khuller. LP-based approximation for uniform capacitated facility location problem. Discrete Optimization, 45:100723, August 2022. [ DOI<http://dx.doi.org/10.1016/j.disopt.2022.100723> ] [30] Adam B. Haywood, Brian J. Lunday, and Matthew J. Robbins. Intruder detection and interdiction modeling: A bilevel programming approach for ballistic missile defense asset location. Omega, 110:102640, July 2022. [ DOI<http://dx.doi.org/10.1016/j.omega.2022.102640> ] [31] Sylvia Y. He, Yong-Hong Kuo, and Ka Kit Sun. The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model. Transportation Research Part A: Policy and Practice, 160:21--44, June 2022. [ DOI<http://dx.doi.org/10.1016/j.tra.2022.02.012> ] [32] Zhineng Hu, Li Wang, Jindong Qin, Benjamin Lev, and Lu Gan. Optimization of facility location and size problem based on bi-level multi-objective programming. Computers & Operations Research, 145:105860, September 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105860> ] [33] Hamid Iravani. A multicriteria GIS-based decision-making approach for locating electric vehicle charging stations. Transportation Engineering, 9:100135, September 2022. [ DOI<http://dx.doi.org/10.1016/j.treng.2022.100135> ] [34] Chandra Ade Irawan, Said Salhi, and Hing Kai Chan. A continuous location and maintenance routing problem for offshore wind farms: Mathematical models and hybrid methods. Computers & Operations Research, 144:105825, August 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105825> ] [35] Hong-Bae Jeon, Sung-Ho Park, Jaedon Park, Kaibin Huang, and Chan-Byoung Chae. An energy-efficient aerial backhaul system with reconfigurable intelligent surface. IEEE Transactions on Wireless Communications, 21(8):6478--6494, August 2022. [ DOI<http://dx.doi.org/10.1109/twc.2022.3149903> ] [36] Nasrin Malekpoor Joneghani, Naeme Zarrinpoor, and Mahmood Eghtesadifard. A mathematical model for designing a network of sustainable medical waste management under uncertainty. Computers & Industrial Engineering, 171:108372, September 2022. [ DOI<http://dx.doi.org/10.1016/j.cie.2022.108372> ] [37] Michael Kahr. Determining locations and layouts for parcel lockers to support supply chain viability at the last mile. Omega, 113:102721, December 2022. [ DOI<http://dx.doi.org/10.1016/j.omega.2022.102721> ] [38] Pawel Kalczynski and Zvi Drezner. The obnoxious facilities planar p--median problem with variable sizes. Omega, 111:102639, September 2022. [ DOI<http://dx.doi.org/10.1016/j.omega.2022.102639> ] [39] Ningxuan Kang, Hao Shen, and Ye Xu. JD.com improves delivery networks by a multiperiod facility location model. INFORMS Journal on Applied Analytics, 52(2):133--148, March 2022. [ DOI<http://dx.doi.org/10.1287/inte.2021.1077> ] [40] Kamyar Kargar and Ali İrfan Mahmutoğulları. Risk-averse hub location: Formulation and solution approach. Computers & Operations Research, 143:105760, July 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105760> ] [41] Dongyung Kim. An optimized discrete data classification method in n-dimensional. Computational and Mathematical Methods, 2022:1--8, May 2022. [ DOI<http://dx.doi.org/10.1155/2022/8199872> ] [42] Woojung Kim and Xiaokun Cara Wang. The adoption of alternative delivery locations in New York City: Who and how far? Transportation Research Part A: Policy and Practice, 158:127--140, April 2022. [ DOI<http://dx.doi.org/10.1016/j.tra.2022.02.006> ] [43] Onkar Kulkarni, Mathieu Dahan, and Benoit Montreuil. Resilient hyperconnected parcel delivery network design under disruption risks. International Journal of Production Economics, 251:108499, September 2022. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2022.108499> ] [44] Tanmoy Kundu, Jiuh-Biing Sheu, and Hsin-Tsz Kuo. Emergency logistics management—review and propositions for future research. Transportation Research Part E: Logistics and Transportation Review, 164:102789, August 2022. [ DOI<http://dx.doi.org/10.1016/j.tre.2022.102789> ] [45] Zhizhu Lai, Qun Yue, Zheng Wang, Dongmei Ge, Yulong Chen, and Zhihong Zhou. The min-p robust optimization approach for facility location problem under uncertainty. Journal of Combinatorial Optimization, 44(2):1134--1160, July 2022. [ DOI<http://dx.doi.org/10.1007/s10878-022-00868-9> ] [46] Chyh-Ming Lai and Ming-Lang Tseng. Designing a reliable hierarchical military logistic network using an improved simplified swarm optimization. Computers & Industrial Engineering, 169:108153, July 2022. [ DOI<http://dx.doi.org/10.1016/j.cie.2022.108153> ] [47] Torbjörn Larsson and Nils-Hassan Quttineh. A theoretical justification of the set covering greedy heuristic of Caprara et al. Discrete Optimization, 45:100700, August 2022. [ DOI<http://dx.doi.org/10.1016/j.disopt.2022.100700> ] [48] Seyyed Ebrahim Latifi, Reza Tavakkoli-Moghaddam, Esmaeel Fazeli, and Hessam Arefkhani. Competitive facility location problem with foresight considering discrete-nature attractiveness for facilities: Model and solution. Computers & Operations Research, 146:105900, October 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105900> ] [49] Jiapei Li, Chi Xie, and Zhaoyao Bao. Optimal en-route charging station locations for electric vehicles: A new modeling perspective and a comparative evaluation of network-based and metanetwork-based approaches. Transportation Research Part C: Emerging Technologies, 142:103781, September 2022. [ DOI<http://dx.doi.org/10.1016/j.trc.2022.103781> ] [50] Yantong Li, Jean-François Côté, Leandro Callegari-Coelho, and Peng Wu. Novel formulations and logic-based Benders decomposition for the integrated parallel machine scheduling and location problem. INFORMS Journal on Computing, 34(2):1048--1069, March 2022. [ DOI<http://dx.doi.org/10.1287/ijoc.2021.1113> ] [51] Yun Hui Lin, Yuan Wang, Loo Hay Lee, and Ek Peng Chew. Omnichannel facility location and fulfillment optimization. Transportation Research Part B: Methodological, 163:187--209, September 2022. [ DOI<http://dx.doi.org/10.1016/j.trb.2022.07.005> ] [52] Junming Liu, Weiwei Chen, Jingyuan Yang, Hui Xiong, and Can Chen. Iterative prediction-and-optimization for e-logistics distribution network design. INFORMS Journal on Computing, 34(2):769--789, March 2022. [ DOI<http://dx.doi.org/10.1287/ijoc.2021.1107> ] [53] Armin Lüer-Villagra, Vladimir Marianov, H.A. Eiselt, and Gonzalo Méndez-Vogel. The leader multipurpose shopping location problem. European Journal of Operational Research, 302(2):470--481, October 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.01.016> ] [54] Luluk Lusiantoro, Setyo Mara, and Achmad Rifai. A locational analysis model of the COVID-19 vaccine distribution. Operations and Supply Chain Management: An International Journal, pages 240--250, April 2022. [ DOI<http://dx.doi.org/10.31387/oscm0490344> ] [55] Chang Lv, Chaoyong Zhang, Yaping Ren, and Leilei Meng. A fuzzy correlation based heuristic for dual-mode integrated location routing problem. Computers & Operations Research, 146:105923, October 2022. [ DOI<http://dx.doi.org/10.1016/j.cor.2022.105923> ] [56] Monirehalsadat Mahmoudi, Khadijeh Shirzad, and Vedat Verter. Decision support models for managing food aid supply chains: A systematic literature review. Socio-Economic Planning Sciences, 82:101255, August 2022. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101255> ] [57] Luisa I. Martínez-Merino, Diego Ponce, and Justo Puerto. Constraint relaxation for the discrete ordered median problem. TOP, 31(3):538--561, dec 2022. [ DOI<http://dx.doi.org/10.1007/s11750-022-00651-3> ] [58] Rodolfo Mendoza-Gómez and Roger Z. Ríos-Mercado. Location of primary health care centers for demand coverage of complementary services. Computers & Industrial Engineering, 169:108237, July 2022. [ DOI<http://dx.doi.org/10.1016/j.cie.2022.108237> ] [59] Mitchell A. Millstein, Canser Bilir, and James F. Campbell. The effect of optimizing warehouse locations on omnichannel designs. European Journal of Operational Research, 301(2):576--590, September 2022. [ DOI<http://dx.doi.org/10.1016/j.ejor.2021.10.061> ] [60] Mamta Mishra, Surya Prakash Singh, and M. P. Gupta. Location of competitive facilities: a comprehensive review and future research agenda. Benchmarking: An International Journal, 30(4):1171--1230, May 2022. [ DOI<http://dx.doi.org/10.1108/bij-11-2021-0638> ] [61] Richard Mix, Ricardo Hurtubia, and Sebastián Raveau. Optimal location of bike-sharing stations: A built environment and accessibility approach. Transportation Research Part A: Policy and Practice, 160:126--142, June 2022. [ DOI<http://dx.doi.org/10.1016/j.tra.2022.03.022> ] [62] Inseok Moon, Le The Dung, and Taejoon Kim. Optimal 3D placement of UAV-BS for maximum coverage subject to user priorities and distributions. Electronics, 11(7):1036, mar 2022. [ DOI<http://dx.doi.org/10.3390/electronics11071036> ] [63] Nassim Mrabti, Nadia Hamani, Youssef Boulaksil, Mohamed Amine Gargouri, and Laurent Delahoche. A multi-objective optimization model for the problems of sustainable collaborative hub location and cost sharing. Transportation Research Part E: Logistics and Transportation Review, 164:102821, August 2022. [ DOI<http://dx.doi.org/10.1016/j.tre.2022.102821> ]

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Ewgla September 2024