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  1. No Access

    Chapter and Conference Paper

    A Modified Two_Arch2 Based on Reference Points for Many-Objective Optimization

    Many-objective optimization problems (MaOPs) refer to those multi-objective problems (MOPs) having more than three objectives. For MaOPs, the performance of most multi-objective evolutionary algorithms (MOEAs)...

    Shuai Wang, Dong **ao, Futao Liao… in Intelligence Computation and Applications (2024)

  2. No Access

    Chapter and Conference Paper

    An Enhanced Subregion Dominance Relation for Evolutionary Many-Objective Optimization

    Pareto dominance-based approach is a classical method for solving multi-objective optimization problems (MOPs). However, as the number of objectives increases, the selection pressure drops sharply. Solutions w...

    Shuai Wang, Hui Wang, Zichen Wei, Futao Liao… in International Conference on Neural Computi… (2023)