Multi-strategy co-evolutionary differential evolution for mixed-variable optimization

作者：

Highlights：

• A multi-strategy co-evolutionary approach for mixed-variables in MVOPs is presented.

• A dynamic adaptive selection mechanism for the all-inclusive situations is utilized.

• A statistics-based local search for discrete variables in MVOPs is proposed.

摘要

•A multi-strategy co-evolutionary approach for mixed-variables in MVOPs is presented.•A dynamic adaptive selection mechanism for the all-inclusive situations is utilized.•A statistics-based local search for discrete variables in MVOPs is proposed.

论文关键词：Differential evolution,Multi-strategy co-evolution,Statistics-based local search,Mixed-variable optimization problems

论文评审过程：Received 19 May 2021, Revised 2 August 2021, Accepted 3 August 2021, Available online 5 August 2021, Version of Record 12 August 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107366