Entropy based evolutionary algorithm with adaptive reference points for many-objective optimization problems

Many-objective optimization problems (MaOPs) have attracted more and more attention due to its challenges for multi-objective evolutionary algorithms. Reference points or weight vectors based evolutionary algorithms have been developed successfully for solving MaOPs. However, these algorithms do not...

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Vydané v:	Information sciences Ročník 465; s. 232 - 247
Hlavní autori:	Zhou, Chong, Dai, Guangming, Zhang, Cuijun, Li, Xiangping, Ma, Ke
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2018
Predmet:	Adaptive reference points Entropy Evolutionary algorithm Irregular and regular Pareto front Many-objective optimization problem Many-objective optimization problem Irregular and regular Pareto front Adaptive reference points Entropy Evolutionary algorithm
ISSN:	0020-0255, 1872-6291
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