Electric Vehicle Ordered Charging Planning Based on Improved Dual-Population Genetic Moth–Flame Optimization

Electric Vehicle Ordered Charging Planning Based on Improved Dual-Population Genetic Moth–Flame Optimization

This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth–flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution of EV OCP, the design for a dual-population g...

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Bibliographic Details
Main Authors: Shuang Che, Yan Chen, Longda Wang, Chuanfang Xu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Algorithms
Subjects:
electric vehicle
ordered charging planning
improved dual-population genetic moth-flame optimization
adaptive nonlinear decreasing strategies
opposition-based learning
Online Access:https://www.mdpi.com/1999-4893/17/3/110

Internet

https://www.mdpi.com/1999-4893/17/3/110

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