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hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSADYKOV, Ruslan
dc.date.accessioned2024-04-04T02:28:06Z
dc.date.available2024-04-04T02:28:06Z
dc.date.issued2012
dc.identifier.issn0305-0548
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190071
dc.description.abstractEnThis paper is about scheduling parallel jobs, i.e. which can be executed on more than one machine at the same time. Malleable jobs is a special class of parallel jobs. The number of machines a malleable job is executed on may change during its execution. In this work, we consider the NP-hard problem of scheduling malleable jobs to minimize the total weighted completion time (or mean weighted flow time). For this problem, we introduce the class of ''ascending'' schedules in which, for each job, the number of machines assigned to it cannot decrease over time while this job is being processed. We prove that, under a natural assumption on the processing time functions of jobs, the set of ascending schedules is dominant for the problem. This result can be used to reduce the search space while looking for an optimal solution.
dc.language.isoen
dc.publisherElsevier
dc.title.enA dominant class of schedules for malleable jobs in the problem to minimise the total weighted completion time
dc.typeArticle de revue
dc.identifier.doi10.1016/j.cor.2011.02.023
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
bordeaux.journalComputers and Operations Research
bordeaux.page1265-1270
bordeaux.volume39
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue6
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
bordeaux.type.reportrr
hal.identifierinria-00539875
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00539875v1
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