Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/704
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dc.contributor.authorDarby-Dowman, K-
dc.contributor.authorWilson, J M-
dc.coverage.spatial17en
dc.date.accessioned2007-04-13T15:10:57Z-
dc.date.available2007-04-13T15:10:57Z-
dc.date.issued2002-
dc.identifier.citationJournal of the Operational Research Society, 53: 1065-1071, Oct 2002en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/704-
dc.description.abstractIn this review we describe recent developments in linear and integer (linear) programming. For over 50 years Operational Research practitioners have made use of linear optimisation models to aid decision making and over this period the size of problems that can be solved has increased dramatically, the time required to solve problems has decreased substantially and the flexibility of modelling and solving systems has increased steadily. Large models are no longer confined to large computers, and the flexibility of optimisation systems embedded in other decision support tools has made on-line decision making using linear programming a reality (and using integer programming a possibility). The review focuses on recent developments in algorithms, software and applications and investigates some connections between linear optimisation and other technologies.en
dc.format.extent66332 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherPalgrave Macmillanen
dc.relation.ispartofseriesThe Centre for the Analysis of Risk and Optimisation Modelling Applications (CARISMA), Brunel University;-
dc.subjectInteger programmingen
dc.subjectLinear programmingen
dc.titleDevelopments in linear and integer programmingen
dc.typeResearch Paperen
dc.identifier.doihttp://dx.doi.org/10.1057/palgrave.jors.2601435-
Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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