Full metadata record
DC Field | Value | Language |
---|---|---|
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.identifier.uri | http://hdl.handle.net/2003/5392 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-15248 | - |
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.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 | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 531 |
Files in This Item:
File | Description | Size | Format | |
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ci89.pdf | DNB | 220.3 kB | Adobe PDF | View/Open |
ci89.ps | 391.35 kB | Postscript | View/Open |
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