A local search-based many-objective five-element cycle optimization algorithm

The conception of memetic algorithms (MAs) has provided a new perspective in algorithmic design through hybridizing and combining of local search techniques and population-based search. Previous research has proven that the performance of some multi-objective evolutionary algorithms (MOEAs) could be...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 68; S. 101009
Hauptverfasser:	Mao, Zhengyan, Liu, Mandan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2022
Schlagworte:	Five-elements cycle model Local search Many-objective evolutionary optimization Multi-objective memetic algorithms Local search Many-objective evolutionary optimization Five-elements cycle model Multi-objective memetic algorithms
ISSN:	2210-6502
Online-Zugang:	Volltext
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