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    Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization

    Controlling dominance area of solutions (CDAS) relaxes the concepts of Pareto dominance with an user-defined parameter S. This method enhances the search performance of dominance-based MOEA in many-objective opti...

    Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka in Simulated Evolution and Learning (2010)