A constrained multimodal multi-objective evolutionary algorithm based on adaptive epsilon method and two-level environmental selection

Fengxia Wang, Min Huang, Shengxiang Yang, Xingwei Wang

Abstract: Highlights•An adaptive epsilon method is designed to utilize promising infeasible solutions.•A two-level environmental selection strategy is developed to maintain diverse POSs.•An archive update strategy is proposed to store well-distributed excellent solutions.•The proposed algorithm has significant advantages in solving CMMOPs.