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A competition-driven two-phase evolutionary algorithm for constrained multi-objective optimization

delete2026-02-12
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PRE
AI
S
Shengwei Wang *
M
M. M. H. Yu
C
Chenhao Yuan
K
Keda Chen
A
Aobo Guo
H
Hui Duan
DOI:10.1016/j.swevo.2026.102322delete
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摘要

摘要

En 中文
• 驱动竞争的双阶段进化算法(AAPEA)用于约束多目标优化。 • 双种群协同进化增强多样性和搜索引导。 • 自适应大小调整降低辅助种群成本。 • 基于CSO的竞争搜索算子促进向高质量解收敛。
Keyword:
constrained multi-objective optimization
two-stage evolutionary algorithm
dual-population co-evolution
adaptive size adjustment
competitive search operators

期刊

Swarm and Evolutionary Computation 封面图
Swarm and Evolutionary Computation
IF:
8.5
论文数:
2.2K
被引数:
1.0W

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