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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Bibliographic Details
Published in:	IEEE access Vol. 9; pp. 17596 - 17609
Main Authors:	Liu, Bing-Jie, Bi, Xiao-Jun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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