A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

Traditionally, evolutionary algorithms (EAs) have been systematically developed to solve mono-, multi-, and many-objective optimization problems, in this order. Despite some efforts in unifying different types of mono-objective evolutionary and non-EAs, researchers are not interested enough in unify...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 20; H. 3; S. 358 - 369
Hauptverfasser:	Seada, Haitham, Deb, Kalyanmoy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Design engineering Design optimization Equivalence Evolutionary Evolutionary algorithms Heuristic algorithms mono-objective optimization NSGA-III Objectives Optimization Optimization algorithms Representations Sociology Software Software algorithms Statistics Unified algorithms mono-objective optimization multiobjective optimization non-dominated sorting genetic algorithm (NSGA)-III Many-objective optimization unified algorithms
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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