Journal of System Simulation
Abstract
Abstract: The development of electric vehicle provides an alternative to conventional fuel vehicles for logistics companies. Using electric vehicles has the merits of less pollution and low noise, but the characteristics of limited cruising range and limited number of charging stations are new challenges. Electric vehicle routing problems(EVRPs) have been widely used in transportation, logistics and other fields, and have received much attention. A comprehensive survey of EVRP and its many variants are presented and the respective backgrounds and applicable conditions are analyzed. The solving approaches of EVRPs are categorized, the strengths and weaknesses of each algorithm are analyzed, and the related practical applications are reviewed. The basic information and some node distribution maps of EVRP benchmark dataset and EVRP with time windows benchmark dataset are given, and the algorithms that have been applied in EVRP benchmark dataset are compared and analyzed. The future development trends of EVRPs is depicted.
Recommended Citation
Zhuang, Helin; Xia, Xiaoyun; Li, Kangshun; Chen, Zefeng; and Zhang, Xianchao
(2024)
"Research Advances on Electric Vehicle Routing Problem Models and Algorithms,"
Journal of System Simulation: Vol. 36:
Iss.
2, Article 4.
DOI: 10.16182/j.issn1004731x.joss.22-1161
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss2/4
First Page
320
Last Page
337
CLC
TP18; U116.2
Recommended Citation
Zhuang Helin, Xia Xiaoyun, Li Kangshun, et al. Research Advances on Electric Vehicle Routing Problem Models and Algorithms[J]. Journal of System Simulation, 2024, 36(2): 320-337.
DOI
10.16182/j.issn1004731x.joss.22-1161
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