Constraint-activated differential evolution for constrained min–max optimization problems: Theory and methodology

作者：

Highlights：

• A constraint-activated differential evolution is proposed to solve constrained min–max optimization problems.

• Min–max optimization theorems are proposed to provide theoretical understanding for the proposed algorithm.

• The proposed method with an exploitation strategy attains 100% success rates for five test problems.

摘要

•A constraint-activated differential evolution is proposed to solve constrained min–max optimization problems.•Min–max optimization theorems are proposed to provide theoretical understanding for the proposed algorithm.•The proposed method with an exploitation strategy attains 100% success rates for five test problems.

论文关键词：Constrained min–max optimization,Differential evolution,Robust design

论文评审过程：Available online 6 October 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.051