On Using Metaheuristics for the Allocation of Electric Vehicles to Charging Stations

被引：0

作者：

Taieb, Chaima ^{[1
,2
]}

Tlili, Takwa ^{[2
]}

Nouaouri, Issam ^{[1
]}

Krichen, Saoussen ^{[2
]}

Allaoui, Hamid ^{[1
]}

机构：

[1] Inst Super Gest, LARODEC Lab, Tunis, Tunisia

[2] Univ Artois, LGI2A Lab, Bethune, France

来源：

CYBERNETICS AND SYSTEMS | 2023年

关键词：

Artificial bee colony; combinatorial optimization; electric vehicles; genetic algorithm; metaheuristics; particle swarm optimization; smart city; ASSIGNMENT;

D O I：

10.1080/01969722.2023.2247260

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we present a comprehensive study regarding the problem of allocating a fleet of electric vehicles to charging stations according to charging time and battery constraints. Each charging station's capacity as well as the necessary charging time is known in advance while each vehicle's arrival time is provided by a GPS device. We provide an integer programming model solved with an exact method to effectively handle this combinatorial problem along with a set of metaheuristic algorithms. To evaluate the performance of this solution framework, computational experiments are conducted on large-scale randomly generated instances simulating a real-world scenario.

引用

页数：20

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