Covariance matrix adaptation for multi-objective optimization

The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most powerful evolutionary algorithms for real-valued single-objective optimization. In this paper, we develop a variant of the CMA-ES for multi-objective optimization (MOO). We first introduce a single-objective, elitist CMA...

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Bibliographic Details

Published in:	Evolutionary computation Vol. 15; no. 1; p. 1
Main Authors:	Igel, Christian, Hansen, Nikolaus, Roth, Stefan
Format:	Journal Article
Language:	English
Published:	United States 01.03.2007
Subjects:	Algorithms Analysis of Variance Biological Evolution Computer Simulation Models, Genetic
ISSN:	1063-6560
Online Access:	Get more information
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