Solving the three dimensional quadratic assignment problem on a computational grid

dc.citation.epage13fr_FR
dc.citation.issue4fr_FR
dc.citation.spage1fr_FR
dc.citation.volume17fr_FR
dc.contributor.authorMezmaz, Mohand
dc.contributor.authorMehdi, Malika
dc.contributor.authorBouvry, P.
dc.date.accessioned2013-12-01T14:59:54Z
dc.date.available2013-12-01T14:59:54Z
dc.date.issued2013-10
dc.description.abstractThe exact resolution of large instances of combinatorial optimization problems, such as three dimensional quadratic assignment problem (Q3AP), is a real challenge for grid computing. Indeed, it is necessary to reconsider the resolution algorithms and take into account the characteristics of such environments, especially large scale and dynamic availability of resources, and their multi-domain administration. In this paper, we revisit the design and implementation of the branch and bound algorithm for solving large combinatorial optimization problems such as Q3AP on the computational grids. Such gridification is based on new ways to efficiently deal with some crucial issues, mainly dynamic adaptive load balancing and fault tolerance. Our new approach allowed the exact resolution on a nation-wide grid of a difficult Q3AP instance. To solve this instance, an average of 1,123 computing cores were used for less than 12 days with a peak of around 3,427 computing cores.fr_FR
dc.identifier.doi10.1007/s10586-013-0313-4
dc.identifier.e-issn1573-7543
dc.identifier.issn1386-7857
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/414
dc.publisherSpringer USfr_FR
dc.relation.ispartofCluster Computingfr_FR
dc.rights.holderSpringerfr_FR
dc.subjectDistributed computingfr_FR
dc.subjectGrid computingfr_FR
dc.subjectBranch and boundfr_FR
dc.subjectThree dimensional quadratic assignment problemfr_FR
dc.titleSolving the three dimensional quadratic assignment problem on a computational gridfr_FR
dc.typeArticle
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