A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms

Reference point is a key component in decomposition-based constrained multi-objective evolutionary algorithms (CMOEAs). A proper way of updating it requires considering constraint-handling techniques due to the existing constraints. However, it remains unexplored in this field. To remedy this issue,...

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Veröffentlicht in:	Knowledge-based systems Jg. 239; S. 107933
Hauptverfasser:	Peng, Chaoda, Liu, Hai-Lin, Goodman, Erik D., Tan, Kay Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 05.03.2022 Elsevier Science Ltd
Schlagworte:	Algorithms Benchmarks Constraint-handling technique Constraints Decomposition Evolutionary algorithms Frame analysis Genetic algorithms Multi-objective evolutionary algorithm Multiple objective analysis Phonetic form Population Referent point Decomposition Referent point Constraint-handling technique Multi-objective evolutionary algorithm
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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