SCJADE: Yet Another State-of-the-Art Differential Evolution Algorithm

Zhe Xu, Shangce Gao*, Haichuan Yang, Zhenyu Lei

*この論文の責任著者

研究成果: ジャーナルへの寄稿Letter査読

36 被引用数 (Scopus)

抄録

Differential evolution algorithms have become one of the most competitive evolutionary algorithms, among which a chaotic differential evolution (CJADE) is a recently proposed state-of-the-art variant. But CJADE still suffers from the premature convergence problem. This paper further improves CJADE by innovatively incorporating a success-intensity-based roulette wheel selection method into it. The resultant algorithm called SCJADE shows its superiority over its peer in terms of solution quality and convergence speed on IEEE CEC2017 optimization test suit.

本文言語英語
ページ(範囲)644-646
ページ数3
ジャーナルIEEJ Transactions on Electrical and Electronic Engineering
16
4
DOI
出版ステータス出版済み - 2021/04

ASJC Scopus 主題領域

  • 電子工学および電気工学

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