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dc.contributor.authorCaccetta, Louis
dc.contributor.authorNordin, Syarifah
dc.date.accessioned2017-01-30T10:41:42Z
dc.date.available2017-01-30T10:41:42Z
dc.date.created2014-05-28T20:00:14Z
dc.date.issued2014
dc.identifier.citationCaccetta, L. and Nordin, S. 2014. Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration. Numerical Algebra, Control and Optimization. 4 (2): pp. 115-132.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4791
dc.identifier.doi10.3934/naco.2014.4.115
dc.description.abstract

In this paper, we consider a non-preemptive task scheduling problem for unrelated parallel processors (UPP) with the objective of minimizing the makespan. We address priority consideration as an added feature to the basic task characteristics of UPP scheduling. A mixed integer linear programming model is developed to obtain an optimal solution for the problem. Computational testing is implemented using AIMMS 3.10 package and CPLEX 12.1 as the solver. Computational results show that the proposed MILP model is effective and produces optimal results with up to 100 tasks run on 5 processors with an average solution time of less than an hour.

dc.publisherAmerican Institute of Mathematical Science
dc.subjectScheduling problem
dc.subjectpriority consideration
dc.subjectparallel processor system
dc.subjectmixed integer linear programming
dc.subjectunrelated parallel processor
dc.titleMixed integer programming model for scheduling in unrelated parallel processor system with priority consideration
dc.typeJournal Article
dcterms.source.volume4
dcterms.source.number2
dcterms.source.startPage115
dcterms.source.endPage132
dcterms.source.issn21553289
dcterms.source.titleNumerical Algebra, Control and Optimization
curtin.department
curtin.accessStatusFulltext not available


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