Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms

Multiobjective evolutionary algorithms (MOEAs) are typically proposed, studied, and applied as monolithic blocks with a few numerical parameters that need to be set. Few works have studied how the algorithmic components of these evolutionary algorithms can be classified and combined to produce new a...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 20; H. 3; S. 403 - 417
Hauptverfasser:	Bezerra, Leonardo C. T., Lopez-Ibanez, Manuel, Stutzle, Thomas
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 automatic algorithm configuration Automation Combinatorial analysis Evolutionary algorithms Evolutionary computation Flexibility Genetic algorithms Mathematical models Measurement Multiobjective optimization Optimization permutation flowshop problem Proposals Sociology Software algorithms Statistics Tuning multiobjective optimization Automatic algorithm configuration permutation flow shop problem (PFSP) evolutionary algorithms
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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