Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution

Yan Sun, Xiaojun Zhou, Chunhua Yang, Tingwen Huang

Abstract: Highlights•Propose a coevolution-based constrained multi-objective state transition algorithm.•Adapt environmental strategies based on real-time status of feasible solutions.•Present a dynamic ɛ-relaxation strategy to prevent local stagnation.•Employ binary tournament with ɛ-dominance for mating selection.•Adopt state transformation operators to generate high-quality candidate solutions.