Chemical reaction-inspired dual-population co-evolutionary algorithm for many-objective optimization

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Weichao Ding, Mingshan Chen, Wenbo Dong, Fei Luo, Chunhua Gu

Published: 01 Jan 2025, Last Modified: 16 Oct 2025Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•This paper proposes a novel chemical reaction-inspired dual-population co-evolutionary algorithm.•We design independent parallel strategies for convergence and diversity optimization.•We propose a coevolutionary mechanism involving information sharing and compensation.•The experimental results show that DPCRO exhibits superior performance in MaOPs.