Tian-Yu Liu

SOM-guided evolution: a multi-stage framework for multi-objective optimization

A two-stage multi-population evolutionary algorithm with dynamic collaboration for constrained multi-objective optimization problems

A reference vector-based diversity-enhancing strategy in the environmental selection of the diversity-enhancing auxiliary population is proposed for the main population, which assists the population in progressively traversing vast infeasible regions by dynamically activating constraints step by step.

A heterogeneous population co-evolutionary algorithm for sparse large-scale multi-objective optimization problems

A heterogeneous population co-evolutionary algorithm (HPCEA) tailored for sparse LSMOPs is proposed, and extensive experiments against six state-of-the-art algorithms across eight benchmark suites and three real-world scenarios demonstrate HPCEA’s superiority.