Parallel Strategies for Stochastic Evolution

dc.creatorSait,Sadiq
dc.creatorKhan,Khawar
dc.creatorAli,Mustafa
dc.date2008
dc.date.accessioned2024-02-06T12:56:54Z
dc.date.available2024-02-06T12:56:54Z
dc.descriptionThis paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization problem. A comprehensive set of parallelization approaches are tested and an effective strategy is identified in terms of two underlying factors: workload division and the effect of parallelization on metaheuristic's search intelligence. The strategies are compared with parallelization of another similar evolutionary metaheuristic called Simulated Evolution (SimE). The role of the two mentioned underlying factors is discussed in parallelization of StocE.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-15-2471
dc.identifierhttps://lib.jucs.org/article/29158/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9839
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(15): 2471-2490
dc.subjectparallel metaheuristics
dc.subjectcombinatorial optimization
dc.subjectstochastic evolution
dc.subjectsimulated evolution
dc.subjectVLSI cell placement
dc.subjectcluster computing
dc.titleParallel Strategies for Stochastic Evolution
dc.typeResearch Article
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