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An evolutionary algorithm driving by dimensionality reduction operator and knowledge model for the electric vehicle routing problem with flexible charging strategy

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成果类型:
期刊论文
作者:
Yang, Bihao;Ren, Teng;Yu, Huijuan;Chen, Jie;Wang, Yaya
通讯作者:
Ren, T
作者机构:
[Ren, T; Ren, Teng; Yu, Huijuan; Yang, Bihao; Chen, Jie; Wang, Yaya] Cent South Univ Forestry & Technol, Sch Logist, Changsha 410004, Peoples R China.
通讯机构:
[Ren, T ] C
Cent South Univ Forestry & Technol, Sch Logist, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Evolutionary algorithm;Reinforcement learning;Knowledge model;Electric vehicle routing problem scheduling;Flexible charging strategy
期刊:
Swarm and Evolutionary Computation
ISSN:
2210-6502
年:
2025
卷:
92
页码:
101814
机构署名:
本校为第一且通讯机构
院系归属:
交通运输与物流学院
摘要:
The digital economy and digital technology are promoting the integrated development of industry and digital, forming a new path for industrial upgrading and building a new development pattern.In today's context of digital economy and green transformation, it is a challenging optimization problem to scientifically plan the logistics routes of electric vehicles (EVs) when taking charging strategies into consideration. Aiming at the drawback of supposing a fixed charging rate in the traditional EV routing problems (EVRPs), the charging data of a type of mainstream EVs were collected and the insta...

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