Mutation Control and Convergence in Evolutionary Multi-Object Optimization

dc.contributor.authorLaumanns, Marcode
dc.contributor.authorRudolph, Günterde
dc.contributor.authorSchwefel, Hans-Paulde
dc.date.accessioned2004-12-07T08:20:48Z
dc.date.available2004-12-07T08:20:48Z
dc.date.created2001de
dc.date.issued2001-10-29de
dc.description.abstractThis paper addresses the problem of controlling mutation strength in multi-objective evolutionary algorithms and its implications for the convergence to the Pareto set. Adaptive parameter control is one major issue in the field of evolutionary computation, and several methods have been proposed and applied successfully for single objective optimization problems. In this study we examine whether these results carry over to the multi-objective case and what modifications must be taken to meet the difficulties and pitfalls of conflicting objectives.en
dc.format.extent103073 bytes
dc.format.extent194786 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/5408
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5637
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 109de
dc.subject.ddc004de
dc.titleMutation Control and Convergence in Evolutionary Multi-Object Optimizationen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

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