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Flow shop scheduling using self organising migration algorithm

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dc.title Flow shop scheduling using self organising migration algorithm en
dc.contributor.author Davendra, Donald David
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Proceedings - 22nd European Conference on Modelling and Simulation, ECMS 2008
dc.identifier.isbn 0955301858
dc.identifier.isbn 9780955301858
dc.date.issued 2008
dc.citation.spage 195
dc.citation.epage 200
dc.event.title 22nd European Conference on Modelling and Simulation, ECMS 2008
dc.event.location Nicosia
utb.event.state-en Cyprus
utb.event.state-cs Kypr
dc.event.sdate 2008-06-03
dc.event.edate 2008-06-06
dc.type conferenceObject
dc.language.iso en
dc.identifier.doi 10.7148/2008-0195
dc.relation.uri http://www.scs-europe.net/dlib/2008/2008-0195.htm
dc.relation.uri http://www.scs-europe.net/conf/ecms2008/ecms2008%20CD/ecms2008%20pdf/is-ECMS2008_0048.pdf
dc.subject Evolutionary heuristics en
dc.subject Flow shop scheduling en
dc.subject Self organising migration algorithm en
dc.description.abstract This paper presents the application of self organinsing migration algorithm (SOMA) to the scheduling problem of flow shop. Flow shop is regarded as the most widely utilized shop management system. Two different benchmark problems are attempted with good results obatined both in comparison with the optimal and other published heuristics. © ECMS. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004935
utb.identifier.scopus 2-s2.0-84857758375
utb.identifier.wok 000261605800028
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:56:07Z
dc.date.available 2015-06-04T12:56:07Z
utb.contributor.internalauthor Davendra, Donald David
utb.contributor.internalauthor Zelinka, Ivan
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