Pareto set and EMOA behavior for simple multimodal multiobjective functions

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.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.identifier.uri	http://hdl.handle.net/2003/26113
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-698
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

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