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The final solution set obtained by the seven MOEAs on 10-objectives MaF8. a PCEA. b NSGAIII. c MOEADD. d KnEA. e RVEA. f NSGAIISDR. g MSEA. h True PF
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It is well known that many-objective optimization problems (MaOPs) are difficultly to be balanced diversity and convergence in the search process because diversity and convergence contradict each other. The method of evaluating the diversity of the solution set can directly affect the final performances of the algorithms. In this article, a point c...
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In this paper, a double association-based evolutionary algorithm (denoted as DAEA) is proposed to solve many-objective optimization problems. In the proposed DAEA, a double association strategy is designed to associate solutions with each subspace. Different from the existing association methods, the double association strategy takes the empty subs...
