Using multi-objective evolutionary algorithms for single-objective optimization

In recent decades, several multi-objective evolutionary algorithms have been successfully applied to a wide variety of multi-objective optimization problems. Along the way, several new concepts, paradigms and methods have emerged. Additionally, some authors have claimed that the application of multi...

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Veröffentlicht in:	4OR Jg. 11; H. 3; S. 201 - 228
Hauptverfasser:	Segura, Carlos, Coello Coello, Carlos A., Miranda, Gara, León, Coromoto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2013 Springer Nature B.V
Schlagworte:	Business and Management Evolutionary algorithms Genetic algorithms Heuristic Industrial and Production Engineering Invited Survey Mathematical functions Mathematical programming Multiple objective analysis Objectives Operations research Operations Research/Decision Theory Optimization 90C59 Approximation methods and heuristics 90 Operations Research and Mathematical Programming Diversity preservation Multi-objective optimization Multiobjectivization Single-objective optimization 90C29 Multi-objective and goal programming Constrained optimization
ISSN:	1619-4500, 1614-2411
Online-Zugang:	Volltext
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