Full metadata record
DC FieldValueLanguage
dc.contributor.authorAgapie, Alexandrude
dc.contributor.authorRudolph, Günterde
dc.date.accessioned2004-12-07T08:20:18Z-
dc.date.available2004-12-07T08:20:18Z-
dc.date.created2000de
dc.date.issued2001-10-16de
dc.identifier.urihttp://hdl.handle.net/2003/5385-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15987-
dc.description.abstractWe 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.extent83727 bytes-
dc.format.extent98807 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 81de
dc.subject.ddc004de
dc.titleConvergence Properties of Some Multi-Objective Evolutionary Algorithmsen
dc.typeTextde
dc.type.publicationtypereport-
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 531

Files in This Item:
File Description SizeFormat 
ci81.pdfDNB81.76 kBAdobe PDFView/Open
ci81.ps96.49 kBPostscriptView/Open


This item is protected by original copyright



This item is protected by original copyright rightsstatements.org