Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization

It is highly desirable to adapt the reference vectors to unknown Pareto fronts (PFs) in decomposition-based evolutionary many-objective optimization. While adapting the reference vectors enhances the diversity of the achieved solutions, it often decelerates the convergence performance. To address th...

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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 53; číslo 2; s. 763 - 775
Hlavní autori:	Liu, Qiqi, Jin, Yaochu, Heiderich, Martin, Rodemann, Tobias
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation Algorithms Convergence Deceleration Evolutionary many-objective optimization irregular Pareto fronts (PFs) Mathematical analysis Multiple objective analysis Optimization Problem solving reference vector scalarizing function Shape Sociology Solids Stars Statistics
ISSN:	2168-2216, 2168-2232
On-line prístup:	Získať plný text
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