A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes
RAIRO-Oper. Res., 54 5 (2020) 1467-1494
Published online: 2020-07-23
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Reinforcement learning-enhanced variable neighborhood search strategies for the k-clustering minimum biclique completion problem
Juntao Zhao and Mhand HifiComputers & Operations Research 178 107008 (2025)
https://doi.org/10.1016/j.cor.2025.107008
Integrating Machine Learning Into Vehicle Routing Problem: Methods and Applications
Reza Shahbazian, Luigi Di Puglia Pugliese, Francesca Guerriero and Giusy MacrinaIEEE Access 12 93087 (2024)
https://doi.org/10.1109/ACCESS.2024.3422479
An enhanced variable neighborhood search method for refrigerated container stacking and relocation problem with duplicate priorities
Wenyuan Wang, Huakun Liu, Qi Tian, Zicheng Xia, Suri Liu and Yun PengTransportation Research Part E: Logistics and Transportation Review 188 103643 (2024)
https://doi.org/10.1016/j.tre.2024.103643
1 (2024)
https://doi.org/10.1109/ACOIT62457.2024.10939234
112 (2024)
https://doi.org/10.1109/ICWR61162.2024.10533378
Integrated relief pre-positioning and procurement planning considering non-governmental organizations support and perishable relief items in a humanitarian supply chain network
Alireza Khalili-Fard, Mojgan Hashemi, Alireza Bakhshi, Maziar Yazdani, Fariborz Jolai and Amir AghsamiOmega 127 103111 (2024)
https://doi.org/10.1016/j.omega.2024.103111
Gase: graph attention sampling with edges fusion for solving vehicle routing problems
Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Özcan and Tiehua ZhangMemetic Computing 16 (3) 337 (2024)
https://doi.org/10.1007/s12293-024-00428-0
530 (2024)
https://doi.org/10.1109/ICAIIC60209.2024.10463347
An improved hybrid genetic search with data mining for the CVRP
Marcelo Rodrigues de Holanda Maia, Alexandre Plastino and Uéverton dos Santos SouzaNetworks 83 (4) 692 (2024)
https://doi.org/10.1002/net.22213
A reinforcement learning-Variable neighborhood search method for the capacitated Vehicle Routing Problem
Panagiotis Kalatzantonakis, Angelo Sifaleras and Nikolaos SamarasExpert Systems with Applications 213 118812 (2023)
https://doi.org/10.1016/j.eswa.2022.118812
A general VNS for the multi-depot open vehicle routing problem with time windows
Sinaide Nunes Bezerra, Sérgio Ricardo de Souza and Marcone Jamilson Freitas SouzaOptimization Letters 17 (9) 2033 (2023)
https://doi.org/10.1007/s11590-023-01990-1
A metaheuristic-driven physical asset risk management framework for manufacturing system considering continuity measures
Mohsen Aghabegloo, Kamran Rezaie, S. Ali Torabi and Maziar YazdaniEngineering Applications of Artificial Intelligence 126 106789 (2023)
https://doi.org/10.1016/j.engappai.2023.106789
A Variable Neighborhood Search Method with a Tabu List and Local Search for Optimizing Routing in Trucks in Maritime Ports
Luka Matijević, Marko Đurasević and Domagoj JakobovićMathematics 11 (17) 3740 (2023)
https://doi.org/10.3390/math11173740
A hybrid adaptive large neighborhood search for time-dependent open electric vehicle routing problem with hybrid energy replenishment strategies
Lijun Fan and Amir M. Fathollahi-FardPLOS ONE 18 (9) e0291473 (2023)
https://doi.org/10.1371/journal.pone.0291473
A two-stage stochastic programming model for collaborative asset protection routing problem enhanced with machine learning: a learning-based matheuristic algorithm
Erfaneh Nikzad and Mahdi BashiriInternational Journal of Production Research 61 (1) 81 (2023)
https://doi.org/10.1080/00207543.2022.2113928
Variable Neighborhood Search: The power of change and simplicity
Jack Brimberg, Said Salhi, Raca Todosijević and Dragan UroševićComputers & Operations Research 155 106221 (2023)
https://doi.org/10.1016/j.cor.2023.106221
Analytics and machine learning in vehicle routing research
Ruibin Bai, Xinan Chen, Zhi-Long Chen, et al.International Journal of Production Research 61 (1) 4 (2023)
https://doi.org/10.1080/00207543.2021.2013566
Combining variable neighborhood search and machine learning to solve the vehicle routing problem with crowd-shipping
Luigi Di Puglia Pugliese, Daniele Ferone, Paola Festa, Francesca Guerriero and Giusy MacrinaOptimization Letters 17 (9) 1981 (2023)
https://doi.org/10.1007/s11590-021-01833-x
1 (2023)
https://doi.org/10.1109/ROBIO58561.2023.10354711
Hospital evacuation in large-scale disasters using limited aerial transport resources
Maziar Yazdani and Milad HaghaniSafety Science 164 106171 (2023)
https://doi.org/10.1016/j.ssci.2023.106171
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, et al.Applied Intelligence 52 (4) 4274 (2022)
https://doi.org/10.1007/s10489-021-02610-0
Machine Learning into Metaheuristics
El-Ghazali TalbiACM Computing Surveys 54 (6) 1 (2022)
https://doi.org/10.1145/3459664
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Yimo Yan, Andy H.F. Chow, Chin Pang Ho, et al.Transportation Research Part E: Logistics and Transportation Review 162 102712 (2022)
https://doi.org/10.1016/j.tre.2022.102712
On the periodic hierarchical Chinese postman problem
Muhammed Emre Keskin and Chefi TrikiSoft Computing 26 (2) 709 (2022)
https://doi.org/10.1007/s00500-021-06213-2
Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows
Wanting Zhang, Ming Zeng, Peng Guo and Kun WenInternational Journal of Environmental Research and Public Health 19 (19) 12887 (2022)
https://doi.org/10.3390/ijerph191912887
A Review on Emerging Variants of the Multi-Period Vehicle Routing Problem
Markus FrankSSRN Electronic Journal (2022)
https://doi.org/10.2139/ssrn.4095035
Courier routing and assignment for food delivery service using reinforcement learning
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, et al.Computers & Industrial Engineering 164 107871 (2022)
https://doi.org/10.1016/j.cie.2021.107871
Transfer Learning for Operator Selection: A Reinforcement Learning Approach
Rafet Durgut, Mehmet Emin Aydin and Abdur RakibAlgorithms 15 (1) 24 (2022)
https://doi.org/10.3390/a15010024
A feature level image fusion for IR and visible image using mNMRA based segmentation
Simrandeep Singh, Nitin Mittal and Harbinder SinghNeural Computing and Applications 34 (10) 8137 (2022)
https://doi.org/10.1007/s00521-022-06900-7
Advanced Manufacturing and Automation X
Shifeng Chen, Yanlan Yin, Bo Chen, Yannan Gao and Junjie YangLecture Notes in Electrical Engineering, Advanced Manufacturing and Automation X 737 666 (2021)
https://doi.org/10.1007/978-981-33-6318-2_83
Reinforcement Learning for Logistics and Supply Chain Management: Methodologies, State of the Art, and Future Opportunities
Yimo Yan, Andy H.F. Chow, Chin Pang Ho, et al.SSRN Electronic Journal (2021)
https://doi.org/10.2139/ssrn.3935816
Compact Sine Cosine Algorithm applied in vehicle routing problem with time window
Jeng-Shyang Pan, Qing-yong Yang, Shu-Chuan Chu and Kuo-Chi ChangTelecommunication Systems 78 (4) 609 (2021)
https://doi.org/10.1007/s11235-021-00833-7