Dynamic multi-strategy integrated differential evolution algorithm based on reinforcement learning for optimization problems

Abstract The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strategy selection of each subpopulation during executi...

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Bibliographic Details
Main Authors: Qingyong Yang, Shu-Chuan Chu, Jeng-Shyang Pan, Jyh-Horng Chou, Junzo Watada
Format: Article
Language:English
Published: Springer 2023-10-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-023-01243-9