Local Performance of the (1 + 1)-ES in a Noisy Environment

dc.contributor.author	Arnold, Dirk V.	de
dc.contributor.author	Beyer, Hans-Georg	de
dc.date.accessioned	2004-12-07T08:20:16Z
dc.date.available	2004-12-07T08:20:16Z
dc.date.created	2000	de
dc.date.issued	2001-10-16	de
dc.description.abstract	While noise is a phenomenon present in many real-world optimization problems, the understanding of its potential effects on the performance of evolutionary algorithms is still incomplete. This paper investigates the effects of noise for the infinite-dimensional quadratic sphere and a (1 +1)-ES with isotropic normal mutations. It is shown that overvaluation as a result of failure to reevaluate parental fitness leads to both reduced success probabilities and improved performance. Implications for mutation strength adaptation rules are discussed and optimal resampling rates are computed.	en
dc.format.extent	437651 bytes
dc.format.extent	664584 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5384
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15271
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 80	de
dc.subject	evolution strategy	en
dc.subject	local performance	en
dc.subject	noise	en
dc.subject	overvaluation	en
dc.subject.ddc	004	de
dc.title	Local Performance of the (1 + 1)-ES in a Noisy Environment	en
dc.type	Text	de
dc.type.publicationtype	report
dcterms.accessRights	open access

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