A competitive new multi-objective optimization genetic algorithm based on apparent front ranking

Evolutionary algorithms built on Pareto-dominance suffer from a loss of selection pressure as the number of objectives increases and the probability of finding non-dominated solutions in the population decreases. Furthermore, Pareto-dominance is computationally expensive because of the pairwise comp...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 132; S. 107870
Hauptverfasser:	Neghină, Mihai, Dicoiu, Alina-Ioana, Chiş, Radu, Florea, Adrian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2024
Schlagworte:	Apparent front ranking Controlled selection Genetic algorithm Grid ALU processor optimization Multi-objective optimization methods Multi-objective optimization methods Grid ALU processor optimization Genetic algorithm Controlled selection Apparent front ranking
ISSN:	0952-1976
Online-Zugang:	Volltext
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