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Dimension-feature-guided adaptive differential evolution algorithm
DOI:10.1016/j.eswa.2025.130783.png)
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
IF:
7.5
Papers:
3.0W
Citations:
10.2W
Organization
No organization information available

