Electric vehicle charging stations emplacement using genetic algorithms and agent-based simulation

作者：

Highlights：

• Genetic algorithm for the emplacement of electric vehicle charging stations.

• Development of an appropriate infrastructure for an agent-based simulation.

• Simulation of mobility based on real data of a city.

• Experimental results show that our solution improves the waiting time metric.

摘要

•Genetic algorithm for the emplacement of electric vehicle charging stations.•Development of an appropriate infrastructure for an agent-based simulation.•Simulation of mobility based on real data of a city.•Experimental results show that our solution improves the waiting time metric.

论文关键词：Genetic algorithm,Electric vehicle,Charging station,Mobility,Agent-based simulation

论文评审过程：Received 4 November 2020, Revised 23 December 2021, Accepted 22 February 2022, Available online 5 March 2022, Version of Record 8 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116739