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Meta-knowledge-assisted sampling with variable sorting for large-scale multi-objective optimization

delete2025-06-23
delete0
PRE
AI
H
Haofan Wang
L
Li Chen
X
Xingxing Hao
T
Tingfeng Yu
Y
Yongkang Qian
R
Ruoxi Yang
刘伟 cover
刘伟 (Wei Liu)
DOI：10.1016/j.asoc.2025.113386delete
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Abstract

Abstract

En 中文
• Adaptive Sorting Mutation can promote population’s diversity. • Neural networks can learn latent information about the evolution of the population. • Learns meta-knowledge to enhance search efficiency and accelerate convergence. • A synergistic framework is developed to exceed the performance of standalone modules.

Journal

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

Organization

No organization information available