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A hierarchical cluster-guided adaptive differential evolution algorithm for solving nonlinear equation systems
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DOI：10.1016/j.eswa.2026.134136.png)
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Abstract
En 中文
• A HCADE algorithm is proposed to solve nonlinear equation systems.
• A success-history memory-based parameter adaptation mechanism is introduced in the algorithm.
• A hierarchical clustering-based population state diagnosis mechanism is introduced to identify clusters conditions.
Keywords:
Nonlinear equation systems
Differential evolution
Hierarchical clustering
Cluster migration
Multiple-root finding
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W