A Two-Stage Many-Objective Evolutionary Algorithm with Survival-Ratio-Based Switching
Many-objective optimization problems (MaOPs) suffer from weakened selection pressure as the number of objectives increases, making it difficult to balance convergence and diversity. Existing two-stage and multi-stage many-objective evolutionary algorithms (MaOEAs) often determine stage transitions using preset schedule...