Flow shop scheduling using self organising migration algorithm

Davendra, Donald David; Zelinka, Ivan

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