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A hybrid evolutionary algorithm based on integrated molecular-gradient search for large-scale many-objective optimization

delete2026-05-05
delete0
PRE
AI
W
Weichao Ding
T
Tianyu Zhang
C
Chunhua Gu
F
Fei Luo
W
Wenbo Dong *
DOI：10.1016/j.asoc.2026.115385delete
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Abstract

Abstract

En 中文
• We propose a hybrid evolutionary algorithm integrated with molecular gradient search for LSMOPs. • We use linear differential evolution to facilitate information interaction between the populations. • We design an enhancement strategy to ensure balanced convergence and diversity within the archive. • The comparative experiment demonstrates that the CGMCEA outperforms state-of-the-art MOEAs.
Keywords:
hybrid evolutionary algorithm
molecular-gradient search
large-scale many-objective optimization
multi-objective evolutionary algorithms
convergence and diversity

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available