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. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

---

SCJADE：另一个最新的差分进化算法

差分进化算法已成为最具竞争力的进化算法之一，其中混沌差分进化（CJADE）是最近提出的最新技术。但是CJADE仍然遭受过早收敛的问题。本文通过将基于成功强度的轮盘赌选择方法创新地纳入其中，进一步改善了CJADE。最终的算法SCJADE在IEEE CEC2017优化测试套件的解决方案质量和收敛速度方面显示出优于同类算法的优势。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。