On the Effects of Outliers on Evolutionary Optimization

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DC Field	Value	Language
dc.contributor.author	Arnold, Dirk V.	de
dc.contributor.author	Beyer, Hans-Georg	de
dc.date.accessioned	2004-12-07T08:21:23Z	-
dc.date.available	2004-12-07T08:21:23Z	-
dc.date.created	2003	de
dc.date.issued	2003-12-23	de
dc.identifier.uri	http://hdl.handle.net/2003/5434	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15352	-
dc.description.abstract	Most studies concerned with the effects of noise on evolutionary computation have assumed a Gaussian noise model. However, practical optimization strategies frequently face situations where the noise is not Gaussian, and sometimes it does not even have a nite variance.In particular, outliers may be present. In this paper, Cauchy distributed noise is used for modeling such situations. A performance law that describes how the progress of an evolution strategy using intermediate recombination scales in the presence of such noise is derived. Implications of that law are studied numerically, and comparisons with the case of Gaussian noise are drawn.	en
dc.format.extent	215021 bytes	-
dc.format.extent	250009 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 144	de
dc.subject.ddc	004	de
dc.title	On the Effects of Outliers on Evolutionary Optimization	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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