Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/741
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dc.contributor.authorGoldengorin, B.-
dc.contributor.authorGhosh, Diptesh-
dc.date.accessioned2010-01-16T09:36:15Z-
dc.date.available2010-01-16T09:36:15Z-
dc.date.copyright2002-02-
dc.date.issued2010-01-16T09:36:15Z-
dc.identifier.urihttp://hdl.handle.net/11718/741-
dc.description.abstractIn this paper we consider the well-known binary knapsack problem. We propose a method of embedding heuristicsi in a branch and bound framework to optain solutions with profits within a pre-specified quality parameter within very short times. Our computational experiements on the more deficult problems show that algorithm can genrate solutions with profits within 0.01% of that of an optimal solution in less than 10% of the time required by exact algorithms based on similar priciples.en
dc.language.isoenen
dc.relation.ispartofseriesW.P.;1689-
dc.subjectBinary systemsen
dc.titleObtaining near-optimal solutions for the binary knapsack problemen
dc.typeWorking Paperen
Appears in Collections:Working Papers

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