Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Naujoks, Boris | de |
dc.contributor.author | Preuss, Mike | de |
dc.contributor.author | Rudolph, Günter | de |
dc.date.accessioned | 2009-05-12T16:00:24Z | - |
dc.date.available | 2009-05-12T16:00:24Z | - |
dc.date.issued | 2006-05 | de |
dc.identifier.uri | http://hdl.handle.net/2003/26113 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-698 | - |
dc.description.abstract | Recent research on evolutionary multiobjective optimization has mainly focused on Pareto-fronts. However, we state that proper behavior of the utilized algorithms in decision/search space is necessary for obtaining good results if multimodal objective functions are concerned. Therefore, it makes sense to observe the development of Pareto-sets as well. We do so on a simple, configurable problem, and detect interesting interactions between induced changes to the Pareto-set and the ability of three optimization algorithms to keep track of Pareto-fronts. | en |
dc.language.iso | en | de |
dc.relation.ispartofseries | Reihe CI; 205-06 | de |
dc.subject.ddc | 004 | de |
dc.title | Pareto set and EMOA behavior for simple multimodal multiobjective functions | en |
dc.type | Text | de |
dc.type.publicationtype | report | de |
dcterms.accessRights | open access | - |
Appears in Collections: | Sonderforschungsbereich (SFB) 531 |
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