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Evolution of petrinet modeled knowledge intensive processes

dc.contributor.authorRichter-von Hagen, Cornelia
dc.contributor.authorRatz, Dietmar
dc.contributor.authorPovalej, Roman
dc.contributor.editorKaschek, Roland
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorLiddle, Stephen
dc.date.accessioned2019-10-11T08:54:14Z
dc.date.available2019-10-11T08:54:14Z
dc.date.issued2005
dc.description.abstractThe domain of Knowledge Intensive Process Improvement (Knowi$π$) will be considered in this paper. For the improvement of knowledge intensive processes (KnowiP) we suggest Genetic Algorithms (GAs). The representation needed by the GA depends on the modelling language of KnowiPs. We will use Petrinets for the process modelling and then use the incidence matrix of the corresponding Petrinet as problem representation. The processes are evaluated according to performance metrics adapted to knowledge intensive processes. Two particular GAs are applied to improve a special class of KnowiPs, one single objective GA and one multi objective GA, namely the Multi-Sexual GA (MSGA) multiple criteria simultaneously.en
dc.identifier.isbn3-88579-392-X
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28345
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformation systems technology and its applications, ISTA' 2005
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-63
dc.titleEvolution of petrinet modeled knowledge intensive processesen
dc.typeText/Conference Paper
gi.citation.endPage203
gi.citation.publisherPlaceBonn
gi.citation.startPage200
gi.conference.date23.-25. May 2005
gi.conference.locationPalmerston North, New Zealand
gi.conference.sessiontitleRegular Research Papers

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