Convergence Properties of Some Multi-Objective Evolutionary Algorithms

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.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.identifier.urihttp://hdl.handle.net/2003/5385
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15987
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

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
ci81.pdf
Size:
81.76 KB
Format:
Adobe Portable Document Format
Description:
DNB
No Thumbnail Available
Name:
ci81.ps
Size:
96.49 KB
Format:
Postscript Files