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Dimension-feature-guided adaptive differential evolution algorithm

delete2025-12-25
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PRE
AI
D
Dong Mei Chen
S
Sheng Xin Zhang *
X
Xiao Lin Jin
X
Xin Rou Hu
L
Li Ming Zheng
DOI:10.1016/j.eswa.2025.130783delete
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Abstract

Abstract

En 中文
• Leverages dimension-level features to guide crossover and rate control. • Correlation modeling enables group-wise, feature-driven crossover evolution. • Adaptive, per-dimension crossover rates are assigned based on past successes.

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
3.0W
Citations:
10.2W

Organization

No organization information available
Cited Papers

Cited Papers

Distance based parameter adaptation for Success-History based Differential Evolution
err2019-11-01
err107
errOAAI
errViktorin, Adam; Senkerik, Roman; Pluhacek, Michal; Kadavy, Tomas; Zamuda, Ales
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Differential evolution algorithm with local and global parameter adaptation
err2025-08-28
err0
PREAI
errXiao Lin Jin; Sheng Xin Zhang; Li Ming Zheng; Shao Yong Zheng
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Differential evolution with evolutionary scale adaptation
err2024-03-01
err4
PREAI
errZhang, Sheng Xin; Hu, Xin Rou; Zheng, Shao Yong
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Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution
err2025-02-01
err2
PREAI
errSong, Zhenghao; Sun, Liangliang; Matsveichuk, Natalja; Sotskov, Yuri; Jiang, Shenglong; Yu, Yang
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