Knowledge guided Bayesian classification for dynamic multi-objective optimization

作者：

Highlights：

• A knowledge-guided dynamic multi-objective evolutionary algorithm is proposed.

• A knowledge reconstruction–examination strategy is devised.

• A knowledge-guided Bayesian classification strategy is designed.

• The experimental results show the merits of the proposed algorithm.

摘要

•A knowledge-guided dynamic multi-objective evolutionary algorithm is proposed.•A knowledge reconstruction–examination strategy is devised.•A knowledge-guided Bayesian classification strategy is designed.•The experimental results show the merits of the proposed algorithm.

论文关键词：Dynamic multi-objective optimization,Naive Bayesian classification,Evolutionary algorithm,Cluster algorithm

论文评审过程：Received 20 January 2022, Revised 27 May 2022, Accepted 28 May 2022, Available online 4 June 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109173