Dynamic Parameter Control in Simple Evolutionary Algorithms

dc.contributor.author	Droste, Stefan	de
dc.contributor.author	Jansen, Thomas	de
dc.contributor.author	Wegener, Ingo	de
dc.date.accessioned	2004-12-07T08:20:26Z
dc.date.available	2004-12-07T08:20:26Z
dc.date.created	2000	de
dc.date.issued	2001-10-17	de
dc.description.abstract	Evolutionary algorithms are general, randomized search heuristics that are influenced by many parameters. Though evolutionary algorithms are assumed to be robust,it is well-known that choosing the parameters appropriately is crucial for success and efficiency of the search. It has been shown in many experiments, that non-static parameter settings can be by far superior to static ones but theoretical verifications are hard to find. We investigate a very simple evolutionary algorithm and rigorously prove that employing dynamic parameter control can greatly speed-up optimization.	en
dc.format.extent	225589 bytes
dc.format.extent	400742 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5392
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15248
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 89	de
dc.subject.ddc	004	de
dc.title	Dynamic Parameter Control in Simple Evolutionary Algorithms	en
dc.type	Text	de
dc.type.publicationtype	report
dcterms.accessRights	open access

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