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dc.contributor.authorKim, Sung-Soo
dc.contributor.authorByeon, Ji-Hwan
dc.contributor.authorLiu, Hongbo
dc.contributor.authorAbraham, Ajith
dc.contributor.authorMcLoone, Seán
dc.date.accessioned2013-06-05T11:56:50Z
dc.date.available2013-06-05T11:56:50Z
dc.date.issued2013
dc.identifier.citationSoft Computing. 2013, vol. 17, issue 5, p. 867-882.cs
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.urihttp://hdl.handle.net/10084/96383
dc.description.abstractThe artificial bee colony has the advantage of employing fewer control parameters compared with other population-based optimization algorithms. In this paper a binary artificial bee colony (BABC) algorithm is developed for binary integer job scheduling problems in grid computing. We further propose an efficient binary artificial bee colony extension of BABC that incorporates a flexible ranking strategy (FRS) to improve the balance between exploration and exploitation. The FRS is introduced to generate and use new solutions for diversified search in early generations and to speed up convergence in latter generations. Two variants are introduced to minimize the makepsan. In the first a fixed number of best solutions is employed with the FRS while in the second the number of the best solutions is reduced with each new generation. Simulation results for benchmark job scheduling problems show that the performance of our proposed methods is better than those alternatives such as genetic algorithms, simulated annealing and particle swarm optimization.cs
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesSoft Computingcs
dc.relation.urihttp://dx.doi.org/10.1007/s00500-012-0957-7cs
dc.subjectartificial bee colony (ABC)cs
dc.subjectbinary artificial bee colony (BABC)cs
dc.subjectefficient binary artificial bee colony (EBABC)cs
dc.subjectflexible ranking strategy (FRS)cs
dc.subjectjob schedulingcs
dc.subjectgrid computingcs
dc.titleOptimal job scheduling in grid computing using efficient binary artificial bee colony optimizationcs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.identifier.doi10.1007/s00500-012-0957-7
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume17cs
dc.description.issue5cs
dc.description.lastpage882cs
dc.description.firstpage867cs
dc.identifier.wos000317786400011


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