DCDG-EA: Dynamic convergence–diversity guided evolutionary algorithm for many-objective optimization

作者：

Highlights：

• DCDG-EA algorithm uses reference vector decomposition to solve MaOPs.

• CDOS selects an appropriate operator to generate offspring.

• CDIS strategy simultaneously considers the convergence and diversity of solutions.

摘要

•DCDG-EA algorithm uses reference vector decomposition to solve MaOPs.•CDOS selects an appropriate operator to generate offspring.•CDIS strategy simultaneously considers the convergence and diversity of solutions.

论文关键词：Many-objective optimization,Convergence,Diversity,Decomposition,Evolutionary algorithm,Pareto optimality

论文评审过程：Received 27 November 2017, Revised 26 August 2018, Accepted 10 September 2018, Available online 21 September 2018, Version of Record 8 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.025