An adaptive neighborhood-based speciation differential evolution for multimodal optimization

作者：

Highlights：

• An adaptive neighborhood-based speciation DE is proposed.

• An external archive is used to fully utilize useful information.

• Diversity is enhanced with a crowding relieving mechanism.

• Results indicate the superiority of our approach.

摘要

•An adaptive neighborhood-based speciation DE is proposed.•An external archive is used to fully utilize useful information.•Diversity is enhanced with a crowding relieving mechanism.•Results indicate the superiority of our approach.

论文关键词：Multimodal optimization problems,Differential evolution,Parameter adaptation,Archive,Diversity

论文评审过程：Received 1 July 2021, Revised 14 July 2022, Accepted 13 August 2022, Available online 29 August 2022, Version of Record 5 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118571