Threshold Selection, Hypothesis Tests, and DOE Methods

dc.contributor.author	Beielstein, Thomas	de
dc.contributor.author	Markon, Sandor	de
dc.date.accessioned	2004-12-07T08:21:00Z
dc.date.available	2004-12-07T08:21:00Z
dc.date.created	2001	de
dc.date.issued	2002-04-08	de
dc.description.abstract	Threshold selection - a selection mechanism for noisy evolutionary algorithms - is put into the broader context of hypothesis testing. Theoretical results are presented and applied to a simple model of stochastic search and to a simplified elevator simulator. Design of experiments methods are used to validate the significance of the results.	en
dc.format.extent	303878 bytes
dc.format.extent	331954 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5417
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15303
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 121	de
dc.subject.ddc	004	de
dc.title	Threshold Selection, Hypothesis Tests, and DOE Methods	en
dc.type	Text	de
dc.type.publicationtype	report
dcterms.accessRights	open access

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