Convergence Properties of Some Multi-Objective Evolutionary Algorithms

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DC Field	Value	Language
dc.contributor.author	Agapie, Alexandru	de
dc.contributor.author	Rudolph, Günter	de
dc.date.accessioned	2004-12-07T08:20:18Z	-
dc.date.available	2004-12-07T08:20:18Z	-
dc.date.created	2000	de
dc.date.issued	2001-10-16	de
dc.identifier.uri	http://hdl.handle.net/2003/5385	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15987	-
dc.description.abstract	We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior or not. Several examples are given.	en
dc.format.extent	83727 bytes	-
dc.format.extent	98807 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 ; 81	de
dc.subject.ddc	004	de
dc.title	Convergence Properties of Some Multi-Objective Evolutionary Algorithms	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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