A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem
Jiale Zhao,
Huijie Zhang,
Huanhuan Yu
et al.
Abstract:In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic. However, the current research on many-objective optimization technology also encounters some challenges. For example: Pareto resistance phenomenon, difficult diversity maintenance. Based on the above problems, this paper proposes a many-objective evolutionary algorithm based on three states (MOEA/TS). Firstly, a feature extraction op… Show more
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