Differential Evolution with Mutation Selection Considering Diversification and Intensification for Constrained Optimization

Differential Evolution with a selection mechanism based on the probability of mutation strategies for constrained optimization is proposed in this letter. The proposed method is based on the principles of diversification and intensification, and adjusts the selection probability based on the Gompertz curve in a scheduled manner. Numerical experiments demonstrate this method outperforms both single-strategy approaches and those employing equal probability selection.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-11-30
DOI
https://doi.org/10.1541/ieejeiss.145.1126
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
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article

Differential Evolution with Mutation Selection Considering Diversification and Intensification for Constrained Optimization

Keiichiro Yasuda, M Kashiwazaki, Kenichi Tamura, Yusuke Yasuda
IEEJ Transactions on Electronics Information and Systems
Metaheuristic Optimization Algorithms Research
article

Differential Evolution with Mutation Selection Considering Diversification and Intensification for Constrained Optimization

Keiichiro Yasuda, M Kashiwazaki, Kenichi Tamura, Yusuke Yasuda
article en

Abstract

Differential Evolution with a selection mechanism based on the probability of mutation strategies for constrained optimization is proposed in this letter. The proposed method is based on the principles of diversification and intensification, and adjusts the selection probability based on the Gompertz curve in a scheduled manner. Numerical experiments demonstrate this method outperforms both single-strategy approaches and those employing equal probability selection.

IEEJ Transactions on Electronics Information and SystemsVol. 145(12)
Tokyo Metropolitan University (JP)
Openalex Percentile: Top 80%
Metaheuristic Optimization Algorithms Research
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