Adaptive ε-Constraint Multi-Objective Evolutionary Algorithm Based on Decomposition and Differential Evolution

To improve distribution and convergence of the obtained solution set in constrained multi-objective optimization problems, this paper presents an adaptive <inline-formula> <tex-math notation="LaTeX">\varepsilon </tex-math></inline-formula>-constraint multi-objective...

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Vydané v:	IEEE access Ročník 9; s. 17596 - 17609
Hlavní autori:	Liu, Bing-Jie, Bi, Xiao-Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Constrained many-objective optimization Constraints Convergence Decomposition differential evolution algorithm Diversity reception Evolutionary algorithms Evolutionary computation Genetic algorithms Linear programming MOEA/D Multiple objective analysis Optimization Search problems Sociology Statistics ε-constrain handling techniques
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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