{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T03:55:40Z","timestamp":1776138940432,"version":"3.50.1"},"reference-count":212,"publisher":"Informa UK Limited","issue":"1","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72071116"],"award-info":[{"award-number":["72071116"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007928","name":"Ningbo Science and Technology Bureau","doi-asserted-by":"publisher","award":["2019B10026"],"award-info":[{"award-number":["2019B10026"]}],"id":[{"id":"10.13039\/501100007928","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007928","name":"Ningbo Science and Technology Bureau","doi-asserted-by":"publisher","award":["2017D10034"],"award-info":[{"award-number":["2017D10034"]}],"id":[{"id":"10.13039\/501100007928","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Production Research"],"published-print":{"date-parts":[[2023,1,2]]},"DOI":"10.1080\/00207543.2021.2013566","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T12:32:15Z","timestamp":1640349135000},"page":"4-30","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":97,"title":["Analytics and machine learning in vehicle routing research"],"prefix":"10.1080","volume":"61","author":[{"given":"Ruibin","family":"Bai","sequence":"first","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Xinan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Zhi-Long","family":"Chen","sequence":"additional","affiliation":[{"name":"Robert H. Smith School of Business, University of Maryland, College Park, MD, USA"}]},{"given":"Tianxiang","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Shuhui","family":"Gong","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Beijing, People's Republic of China"}]},{"given":"Wentao","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Xiaoping","family":"Jiang","sequence":"additional","affiliation":[{"name":"National University of Defence Technology, Hefei, People's Republic of China"}]},{"given":"Huan","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Jiahuan","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Graham","family":"Kendall","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham, Nottingham, UK"},{"name":"UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, People's Republic of China"}]},{"given":"Jiawei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Zheng","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Jianfeng","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]},{"given":"Paul","family":"Weng","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University, Shanghai, People's Republic of China"},{"name":"Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK"}]},{"given":"Ning","family":"Xue","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK"}]},{"given":"Huayan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, People's Republic of China"}]}],"member":"301","published-online":{"date-parts":[[2021,12,24]]},"reference":[{"key":"CIT0001","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.10.022"},{"key":"CIT0002","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.05.043"},{"key":"CIT0003","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2014.02.010"},{"key":"CIT0004","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.2016.0723"},{"key":"CIT0005","unstructured":"Anuar, Wadi Khalid, M. Moll, L. S. Lee, S. Pickl, and H. V. Seow. 2019. \u201cVehicle Routing Optimization for Humanitarian Logistics in Disaster Recovery: A Survey.\u201d In Proceedings of the International Conference on Security and Management (SAM2019), Athens."},{"key":"CIT0006","doi-asserted-by":"publisher","DOI":"10.1007\/s13675-014-0030-7"},{"key":"CIT0007","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2019.11.009"},{"key":"CIT0008","doi-asserted-by":"publisher","DOI":"10.1109\/EALS.2014.7009505"},{"key":"CIT0009","unstructured":"Augerat, Ph, Jose Manuel Belenguer, Enrique Benavent, A. Corber\u00e1n, D. Naddef, and G. Rinaldi. 1995. Computational results with a branch and cut code for the capacitated vehicle routing problem. Vol. 34. IMAG."},{"key":"CIT0010","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2013.08.016"},{"key":"CIT0011","unstructured":"Bahdanau, Dzmitry, Kyung Hyun Cho, and Yoshua Bengio. 2015. \u201cNeural Machine Translation by Jointly Learning to Align and Translate.\u201d In 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings."},{"key":"CIT0012","volume-title":"Memory Length in Hyper-heuristics: An Empirical Study","author":"Bai Ruibin","year":"2007"},{"key":"CIT0013","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2013.11.001"},{"key":"CIT0014","unstructured":"Balaji, Bharathan, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, and Chun Ye. 2019. \u201cORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems.\u201d In AAAI, Nov. http:\/\/arxiv.org\/abs\/1911.10641"},{"key":"CIT0015","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1040.0111"},{"key":"CIT0016","doi-asserted-by":"publisher","DOI":"10.1016\/0305-0483(83)90033-6"},{"key":"CIT0017","doi-asserted-by":"publisher","DOI":"10.1145\/321105.321111"},{"key":"CIT0018","unstructured":"Bello, Irwan, Hieu Pham, Quoc V. Le, Mohammad Norouzi, and Samy Bengio. 2017. \u201cNeural Combinatorial Optimization with Reinforcement Learning.\u201d In ICLR Workshop, November, 473\u2013474. http:\/\/arxiv.org\/abs\/1611.09940"},{"key":"CIT0019","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1010744"},{"key":"CIT0020","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.07.063"},{"key":"CIT0021","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1040.0124"},{"key":"CIT0022","unstructured":"Bent, Russell, and Pascal Van Hentenryck. 2005. \u201cOnline Stochastic Optimization Without Distributions.\u201d In ICAPS, Vol. 5, 171\u2013180."},{"key":"CIT0023","volume-title":"Neuro-dynamic Programming","author":"Bertsekas Dimitri P.","year":"1996"},{"key":"CIT0024","doi-asserted-by":"publisher","DOI":"10.1137\/080734510"},{"key":"CIT0025","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.041"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2019.1969"},{"key":"CIT0027","first-page":"77","volume":"1","author":"Boyan J. A.","year":"2000","journal-title":"Journal of Machine Learning Research"},{"key":"CIT0028","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"CIT0029","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2015.12.007"},{"key":"CIT0030","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1030.0056"},{"key":"CIT0031","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1030.0057"},{"key":"CIT0032","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91086-4_14"},{"key":"CIT0033","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2016.01.016"},{"key":"CIT0034","doi-asserted-by":"publisher","DOI":"10.17265\/2159-5313\/2016.09.003"},{"key":"CIT0035","unstructured":"Ce, Fu, and Wang Hui. 2010. \u201cThe Solving Strategy for the Real-world Vehicle Routing Problem.\u201d In 2010 3rd International Congress on Image and Signal Processing."},{"key":"CIT0036","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185659"},{"key":"CIT0037","unstructured":"Chen, Mingxiang, Lei Gao, Qichang Chen, and Zhixin Liu. 2020. \u201cDynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search.\u201d arXiv."},{"key":"CIT0038","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2016.04.003"},{"key":"CIT0039","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1250-y"},{"key":"CIT0040","doi-asserted-by":"publisher","DOI":"10.1051\/ro\/2019080"},{"key":"CIT0041","unstructured":"Chen, Xinyun, and Yuandong Tian. 2019. \u201cLearning to Perform Local Rewriting for Combinatorial Optimization.\u201d In NeurIPS, 6281\u20136292. https:\/\/github.com\/facebookresearch\/neural-rewriter"},{"key":"CIT0042","doi-asserted-by":"publisher","DOI":"10.1016\/j.orl.2006.12.009"},{"key":"CIT0043","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1040.0092"},{"key":"CIT0044","doi-asserted-by":"publisher","DOI":"10.1504\/IJPM.2018.092766"},{"key":"CIT0045","doi-asserted-by":"publisher","DOI":"10.1007\/s12046-017-0754-1"},{"key":"CIT0046","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3019523"},{"key":"CIT0047","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2015.02.009"},{"key":"CIT0048","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185831"},{"key":"CIT0049","doi-asserted-by":"crossref","unstructured":"Da Costa, Paulo R de O, Jason Rhuggenaath, Yingqian Zhang, and Alp Akcay. 2020. \u201cLearning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.\u201d In Proceedings of The 12th Asian Conference on Machine Learning (PMLR), 465\u2013480.","DOI":"10.1007\/s42979-021-00779-2"},{"key":"CIT0050","unstructured":"Dai, Hanjun, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, and Le Song. 2017. \u201cLearning Combinatorial Optimization Algorithms over Graphs.\u201d Advances in Neural Information Processing Systems, December 2017, 6349\u20136359."},{"key":"CIT0051","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.6.1.80"},{"key":"CIT0052","unstructured":"Defourny, Boris. 2010. \u201cMachine Learning Solution Methods for Multistage Stochastic Programming.\u201d PhD diss., University of Liege. https:\/\/www.lehigh.edu\/defourny\/PhDthesis_B_Defourny.pdf"},{"key":"CIT0053","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.06.044"},{"key":"CIT0054","unstructured":"Desaulniers, Guy, Andrea Lodi, and Mouad Morabit. 2020. Machine-Learning-Based Column Selection for Column Generation. Technical Report G-2020-29. GERAD. ISSN: 0771-2440. Publication Title: Les Cahiers du GERAD. Accessed 29 September 2020. https:\/\/www.gerad.ca\/en\/papers\/G-2020-29"},{"key":"CIT0055","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93031-2_12"},{"key":"CIT0056","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-017-1151-6"},{"key":"CIT0057","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.07.077"},{"key":"CIT0058","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32964-7_31"},{"key":"CIT0059","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403356"},{"key":"CIT0060","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2009.05.009"},{"key":"CIT0061","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2019.106242"},{"key":"CIT0062","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2011.08.001"},{"key":"CIT0063","doi-asserted-by":"publisher","DOI":"10.1007\/BF01096763"},{"key":"CIT0064","doi-asserted-by":"publisher","DOI":"10.1002\/net.3230110205"},{"key":"CIT0065","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16916"},{"key":"CIT0066","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-020-00615-8"},{"key":"CIT0067","unstructured":"Gao, Lei, Mingxiang Chen, Qichang Chen, Ganzhong Luo, Nuoyi Zhu, and Zhixin Liu. 2020. \u201cLearn to Design the Heuristics for Vehicle Routing Problem.\u201d In arXiv, Feb. Accessed 3 October 2020. http:\/\/arxiv.org\/abs\/2002.08539"},{"key":"CIT0068","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2016.03.035"},{"key":"CIT0069","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-010-9126-2"},{"key":"CIT0070","doi-asserted-by":"publisher","DOI":"10.1504\/IJOR.2013.052336"},{"key":"CIT0071","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2012.727344"},{"key":"CIT0072","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(95)00050-X"},{"key":"CIT0073","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1665-5"},{"key":"CIT0074","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2019.1924"},{"key":"CIT0075","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-6089-0"},{"key":"CIT0076","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.023"},{"key":"CIT0077","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.36.1.21.570"},{"key":"CIT0078","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1120.1136"},{"key":"CIT0079","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-006-0054-3"},{"key":"CIT0080","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113110"},{"key":"CIT0081","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2018.07.042"},{"key":"CIT0082","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2020.105085"},{"key":"CIT0083","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2013.0476"},{"key":"CIT0084","doi-asserted-by":"publisher","DOI":"10.35940\/ijeat.E1001.0585C19"},{"key":"CIT0085","unstructured":"He, He, Hal Daume III, and Jason M. Eisner. 2014. \u201cLearning to Search in Branch and Bound Algorithms.\u201d In Advances in Neural Information Processing Systems 27, edited by Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, 3293\u20133301. Curran Associates, Inc."},{"key":"CIT0086","doi-asserted-by":"publisher","DOI":"10.1109\/IITA.2009.307"},{"key":"CIT0087","doi-asserted-by":"publisher","DOI":"10.1137\/0110015"},{"key":"CIT0088","volume-title":"An Extension of the Lin-Kernighan-Helsgaun TSP Solver for Constrained Traveling Salesman and Vehicle Routing Problems","author":"Helsgaun Keld.","year":"2017"},{"key":"CIT0089","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.04.007"},{"key":"CIT0090","doi-asserted-by":"publisher","DOI":"10.1007\/s12469-020-00249-7"},{"key":"CIT0091","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3640"},{"key":"CIT0092","doi-asserted-by":"publisher","DOI":"10.1007\/BF00339943"},{"key":"CIT0093","unstructured":"Hottung, Andr\u00e9, and Kevin Tierney. 2019. \u201cNeural Large Neighborhood Search for the Capacitated Vehicle Routing Problem.\u201d https:\/\/arxiv.org\/abs\/1911.09539"},{"issue":"1","key":"CIT0094","first-page":"189","volume":"3","author":"Hu Xiangpei","year":"2007","journal-title":"International Journal of Innovative Computing, Information and Control"},{"key":"CIT0095","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106244"},{"key":"CIT0096","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1614692"},{"key":"CIT0097","doi-asserted-by":"crossref","unstructured":"Jacobsen-Grocott, Josiah, Yi Mei, Gang Chen, and Mengjie Zhang. 2017. \u201cEvolving Heuristics for Dynamic Vehicle Routing with Time Windows using Genetic Programming.\u201d In 2017 IEEE Congress on Evolutionary Computation (CEC), June, 1948\u20131955.","DOI":"10.1109\/CEC.2017.7969539"},{"key":"CIT0098","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909109"},{"key":"CIT0099","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-96769-8"},{"key":"CIT0100","doi-asserted-by":"crossref","unstructured":"Joe, Waldy, and Hoong Chuin Lau. 2020. \u201cDeep reinforcement learning approach to solve dynamic vehicle routing problem with stochastic customers.\u201d In Proceedings of the International Conference on Automated Planning and Scheduling, Vol. 30, 394\u2013402.","DOI":"10.1609\/icaps.v30i1.6685"},{"key":"CIT0101","unstructured":"Joshi, Chaitanya K., Thomas Laurent, and Xavier Bresson. 2019a. \u201cAn Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.\u201d http:\/\/arxiv.org\/abs\/1906.01227."},{"key":"CIT0102","unstructured":"Joshi, Chaitanya K., Thomas Laurent, and Xavier Bresson. 2019b. \u201cOn Learning Paradigms for the Travelling Salesman Problem.\u201d In NeurIPS 2019 Graph Representation Learning Workshop. https:\/\/github.com\/chaitjo\/learning-paradigms-for-tsp"},{"key":"CIT0103","doi-asserted-by":"publisher","DOI":"10.1016\/0957-4174(91)90131-W"},{"key":"CIT0104","unstructured":"Kaempfer, Yoav, and Lior Wolf. 2019. \u201cLearning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks.\u201d February. http:\/\/arxiv.org\/abs\/1803.09621"},{"key":"CIT0105","doi-asserted-by":"publisher","DOI":"10.1109\/AiDAS47888.2019.8970890"},{"key":"CIT0106","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2021.04.032"},{"key":"CIT0107","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10080"},{"key":"CIT0108","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"CIT0109","unstructured":"Kool, Wouter, Herke van Hoof, and Max Welling. 2019. \u201cAttention, Learn to Solve Routing Problems!\u201d In 7th International Conference on Learning Representations, ICLR 2019. ICLR. http:\/\/arxiv.org\/abs\/1803.08475"},{"key":"CIT0110","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/83\/1\/012014"},{"key":"CIT0111","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-011-0246-9"},{"key":"CIT0112","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59776-8_16"},{"key":"CIT0113","doi-asserted-by":"publisher","DOI":"10.29081\/jesr.v25i2.31"},{"key":"CIT0114","doi-asserted-by":"publisher","DOI":"10.3390\/sym11040546"},{"key":"CIT0115","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1572929"},{"key":"CIT0116","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1090.0290"},{"key":"CIT0117","doi-asserted-by":"publisher","DOI":"10.3390\/su11061596"},{"key":"CIT0118","doi-asserted-by":"publisher","DOI":"10.1108\/VJIKMS-11-2018-0102"},{"key":"CIT0119","unstructured":"Li, Zhuwen, Qifeng Chen, and Vladlen Koltun. 2018. \u201cCombinatorial Optimization with Graph Convolutional Networks and Guided Tree Search.\u201d In Advances in Neural Information Processing Systems, Vol. 2018-December, 539\u2013548. http:\/\/arxiv.org\/abs\/1810.10659"},{"key":"CIT0120","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3111082"},{"key":"CIT0121","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2010.01.013"},{"key":"CIT0122","doi-asserted-by":"crossref","unstructured":"Li, Xijun, Mingxuan Yuan, Di Chen, Jianguo Yao, and Jia Zeng. 2018. \u201cA Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint.\u201d In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 528\u2013536.","DOI":"10.1145\/3219819.3219872"},{"key":"CIT0123","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2019.11.002"},{"key":"CIT0124","doi-asserted-by":"crossref","unstructured":"Liu, Yuxin, Yi Mei, Mengjie Zhang, and Zili Zhang. 2017. \u201cAutomated Heuristic Design Using Genetic Programming Hyper-heuristic for Uncertain Capacitated arc Routing Problem.\u201d In Proceedings of the Genetic and Evolutionary Computation Conference, 290\u2013297.","DOI":"10.1145\/3071178.3071185"},{"key":"CIT0125","doi-asserted-by":"publisher","DOI":"10.1007\/s11750-017-0451-6"},{"key":"CIT0126","unstructured":"Lu, Hao, Xingwen Zhang, and Shuang Yang. 2020. \u201cA Learning-based Iterative Method for Solving Vehicle Routing Problems.\u201d In ICLR, 15."},{"key":"CIT0127","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2014.03.004"},{"key":"CIT0128","unstructured":"Ma, Qiang, Suwen Ge, Danyang He, Darshan Thaker, and Iddo Drori. 2020. \u201cCombinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning.\u201d In AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications. https:\/\/arxiv.org\/pdf\/1911.04936.pdf"},{"key":"CIT0129","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00267"},{"key":"CIT0130","unstructured":"Markovic, H., I. Cavar, and T. Caric. 2005. \u201cUsing Data Mining to Forecast Uncertain Demands in Stochastic Vehicle Routing Problem.\u201d In 13th International Symposium on Elecronics in Transport (ISEP), Slovenia, 1\u20136."},{"key":"CIT0131","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1120.0432"},{"key":"CIT0132","unstructured":"Mendoza, J. E., C. Gueret, M. Hoskins, H. Lobit, and D. Vigo. 2014. \u201cVRP-REP: The Vehicle Routing Community Repository.\u201d In Third Meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization (VeRoLog)."},{"issue":"4","key":"CIT0133","first-page":"11","volume":"2","author":"Menger Karl.","year":"1932","journal-title":"Ergebnisse Eines Mathematischen Kolloquiums"},{"key":"CIT0134","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-016-2233-1"},{"key":"CIT0135","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(97)00031-2"},{"key":"CIT0136","unstructured":"Moll, R. N., A. G. Barto, T. J. Perkins, and R. S. Sutton. 1998. \u201cLearning Instance-Independent Value Functions to Enhance Local Search.\u201d In Neural Information Processing Systems, 1017\u20131023."},{"key":"CIT0137","unstructured":"Montoya, Jose A., Christelle Gu\u00e9ret, Jorge E. Mendoza, and Juan G. Villegas. 2014. \u201cA Route-First Cluster-Second Heuristic for the Green Vehicle Routing Problem.\u201d In ROADEF2014, Bordeaux, France, February. Accessed 2 October 2020. https:\/\/hal.archives-ouvertes.fr\/hal-00946492"},{"key":"CIT0138","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04312-9"},{"key":"CIT0139","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.10.603"},{"key":"CIT0140","unstructured":"Nallusamy, R., K. Duraiswamy, R. Dhanalaksmi, and P. Parthiban. 2010. \u201cOptimization of Multiple Vehicle Routing Problems using Approximation Algorithms.\u201d http:\/\/arxiv.org\/abs\/1001.4197"},{"key":"CIT0141","unstructured":"Nazari, Mohammadreza, Afshin Oroojlooy, Lawrence V. Snyder, and Martin Takac. 2018. \u201cReinforcement Learning for Solving the Vehicle Routing Problem.\u201d https:\/\/arxiv.org\/abs\/1802.04240"},{"key":"CIT0142","doi-asserted-by":"publisher","DOI":"10.1016\/j.eastsj.2020.100028"},{"key":"CIT0143","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2017.12.015"},{"key":"CIT0144","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439919"},{"key":"CIT0145","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI50451.2021.9659970"},{"key":"CIT0146","unstructured":"Ouyang, Wenbin, Yisen Wang, Paul Weng, and Shaochen Han. 2021. \u201cGeneralization in Deep RL for TSP Problems via Equivariance and Local Search.\u201d https:\/\/arxiv.org\/abs\/2110.03595"},{"key":"CIT0147","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.027"},{"key":"CIT0148","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2017.01.020"},{"key":"CIT0149","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5577-0_51"},{"key":"CIT0150","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2012.08.015"},{"key":"CIT0151","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1665-5_13"},{"key":"CIT0152","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1990.76"},{"key":"CIT0153","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2017.09.011"},{"key":"CIT0154","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014731"},{"key":"CIT0155","doi-asserted-by":"publisher","DOI":"10.1016\/S1570-6672(10)60104-3"},{"key":"CIT0156","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"CIT0157","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107252"},{"key":"CIT0158","doi-asserted-by":"publisher","DOI":"10.1080\/00207540110091712"},{"key":"CIT0159","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.11.016"},{"key":"CIT0160","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-002-0323-0"},{"key":"CIT0161","doi-asserted-by":"publisher","DOI":"10.1108\/JAMR-12-2018-0113"},{"key":"CIT0162","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.10.017"},{"key":"CIT0163","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2014.10.005"},{"key":"CIT0164","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.05.005"},{"key":"CIT0165","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30671-6_2"},{"key":"CIT0166","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1043403"},{"key":"CIT0167","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1050.0135"},{"key":"CIT0168","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281527"},{"key":"CIT0169","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2323936"},{"key":"CIT0170","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2323936"},{"key":"CIT0171","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.01.019"},{"key":"CIT0172","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(99)00146-X"},{"key":"CIT0173","doi-asserted-by":"publisher","DOI":"10.5755\/j01.itc.49.2.24613"},{"key":"CIT0174","doi-asserted-by":"publisher","DOI":"10.17265\/2159-5313\/2016.09.003"},{"key":"CIT0175","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.056"},{"key":"CIT0176","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.11.1.15"},{"key":"CIT0177","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2020.03.185"},{"key":"CIT0178","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.01.042"},{"key":"CIT0179","volume-title":"Local Search Algorithms for Combinatorial Problems: Analysis, Improvements, and New Applications","author":"St\u00fctzle Thomas.","year":"1999"},{"key":"CIT0180","doi-asserted-by":"publisher","DOI":"10.1080\/07408170701745378"},{"key":"CIT0181","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-015-2034-y"},{"key":"CIT0182","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2021.016087"},{"key":"CIT0183","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.06.008"},{"key":"CIT0184","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.05.024"},{"key":"CIT0185","unstructured":"Tulabandhula, Theja, and Cynthia Rudin. 2014. \u201cRobust Optimization using Machine Learning for Uncertainty Sets.\u201d Working Paper."},{"key":"CIT0186","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969477"},{"key":"CIT0187","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejtl.2020.100008"},{"key":"CIT0188","unstructured":"Veli\u00e7kovi\u0107, Petar, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, and Yoshua Bengio. 2018. \u201cGraph Attention Networks.\u201d http:\/\/arxiv.org\/abs\/1710.10903"},{"key":"CIT0189","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2019.10.010"},{"key":"CIT0190","unstructured":"Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. 2015. \u201cPointer Networks.\u201d In Advances in Neural Information Processing Systems 28, edited by C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett, 2692\u20132700. Curran Associates, Inc. http:\/\/papers.nips.cc\/paper\/5866-pointer-networks.pdf"},{"key":"CIT0191","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.09.020"},{"key":"CIT0192","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-48056-5_7"},{"key":"CIT0193","doi-asserted-by":"crossref","unstructured":"Wang, Shaolin, Yi Mei, John Park, and Mengjie Zhang. 2019. \u201cEvolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.\u201d In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), December, 1628\u20131635.","DOI":"10.1109\/SSCI44817.2019.9002749"},{"key":"CIT0194","unstructured":"Wang, Chunbao, Lin Wang, Jian Qin, Zhengzhi Wu, Lihong Duan, Zhongqiu Li, and Mequn Cao, et\u00a0al. 2015. \u201cPath Planning of Automated Guided Vehicles based on Improved A-Star Algorithm.\u201d In 2015 IEEE International Conference on Information and Automation, 2071\u20132076. IEEE."},{"key":"CIT0195","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2009.12.002"},{"key":"CIT0196","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3068828"},{"key":"CIT0197","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17020458"},{"key":"CIT0198","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3000236"},{"key":"CIT0199","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7840264"},{"key":"CIT0200","unstructured":"Yang, Feidiao, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, and Jialin Zhang. 2018. \u201cBoosting Dynamic Programming with Neural Networks for Solving NP-hard Problems.\u201d In ICML, Vol. 95, 726\u2013739."},{"key":"CIT0201","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2868942"},{"key":"CIT0202","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2019.09.009"},{"key":"CIT0203","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909109"},{"key":"CIT0204","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.03.077"},{"key":"CIT0205","doi-asserted-by":"publisher","DOI":"10.3390\/fi11040094"},{"key":"CIT0206","unstructured":"Zhang, C., N. P. Dellaert, L. Zhao, T. Van Woensel, and Derya Sever. 2013. \u201cSingle Vehicle Routing with Stochastic Demands: Approximate Dynamic Programming.\u201d Tech. Rep. 425. Beijing, China: Department of Industrial Engineering, Tsinghua University."},{"key":"CIT0207","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102861"},{"key":"CIT0208","doi-asserted-by":"publisher","DOI":"10.1007\/s11067-013-9190-x"},{"issue":"3","key":"CIT0209","first-page":"915","volume":"20","author":"Zhang Yan","year":"2019","journal-title":"Journal of Internet Technology"},{"key":"CIT0210","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2158001"},{"key":"CIT0211","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.06.056"},{"key":"CIT0212","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/7386701"}],"container-title":["International Journal of Production Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00207543.2021.2013566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T09:22:57Z","timestamp":1677662577000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00207543.2021.2013566"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,24]]},"references-count":212,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,2]]}},"alternative-id":["10.1080\/00207543.2021.2013566"],"URL":"https:\/\/doi.org\/10.1080\/00207543.2021.2013566","relation":{},"ISSN":["0020-7543","1366-588X"],"issn-type":[{"value":"0020-7543","type":"print"},{"value":"1366-588X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,24]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-07-08","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}