An enhanced decomposition-based multi-objective evolutionary algorithm with a self-organizing collaborative scheme

作者：

Highlights：

• An enhanced MOEA/D with a self-organizing collaborative scheme is proposed.

• Different evolutionary strategies are collaboratively selected at different stages.

• A neighborhood reconstruction scheme is designed to enhance information interaction.

• Many benchmark and engineering problems are used for performance evaluation.

摘要

•An enhanced MOEA/D with a self-organizing collaborative scheme is proposed.•Different evolutionary strategies are collaboratively selected at different stages.•A neighborhood reconstruction scheme is designed to enhance information interaction.•Many benchmark and engineering problems are used for performance evaluation.

论文关键词：MOEA/D,Self-organizing collaborative scheme,Differential evolution operator,Neighborhood reconstruction

论文评审过程：Received 11 July 2022, Revised 5 September 2022, Accepted 24 September 2022, Available online 30 September 2022, Version of Record 4 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118915