A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem

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: Pa...

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Vydané v:	Scientific reports Ročník 14; číslo 1; s. 19140 - 36
Hlavní autori:	Zhao, Jiale, Zhang, Huijie, Yu, Huanhuan, Fei, Hansheng, Huang, Xiangdang, Yang, Qiuling
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 19.08.2024 Nature Publishing Group Nature Portfolio
Predmet:	631/114/116 631/114/1305 631/114/2397 639/705/1042 639/705/117 Algorithms Genetic algorithms Humanities and Social Sciences multidisciplinary Optimization Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
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