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An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem

Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz

自动化学报(英文版)2022,Vol.9Issue(7):1115-1138,24.
自动化学报(英文版)2022,Vol.9Issue(7):1115-1138,24.DOI:10.1109/JAS.2022.105677

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem

Bingjie Li 1Guohua Wu 1Yongming He 2Mingfeng Fan 1Witold Pedrycz3

作者信息

  • 1. School of Traffic and Transportation Engineering,Central South University,Changsha 410075,China
  • 2. College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
  • 3. Department of Electrical and Computer Engineering,University of Alberta,Edmonton,AB T6G 2V4,Canada
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摘要

关键词

End-to-end approaches/learning-based optimization (LBO) algorithms/reinforcement learning/step-by-step approaches/vehicle routing problem (VRP)

Key words

End-to-end approaches/learning-based optimization (LBO) algorithms/reinforcement learning/step-by-step approaches/vehicle routing problem (VRP)

引用本文复制引用

Bingjie Li,Guohua Wu,Yongming He,Mingfeng Fan,Witold Pedrycz..An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem[J].自动化学报(英文版),2022,9(7):1115-1138,24.

自动化学报(英文版)

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2329-9266

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