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A HARMONY SEARCH ALGORITHM FOR HYBRID FLOW SHOP SCHEDULING WITH MULTIPROCESSOR TASK PROBLEMS

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dc.contributor.authorAkkoyunlu, Mehmet Cabir
dc.contributor.authorEngin, Orhan
dc.contributor.authorBuyukozkan, Kadir
dc.date.accessioned2026-06-27T13:55:41Z
dc.date.issued2015
dc.description.abstractMultiprocessor task can be stated as finding a schedule for a general graph to execute on a multiprocessor system. In this paper an efficient harmony search algorithm (HSA) is proposed to solve the hybrid flow shop scheduling with multiprocessor task problems (HFSMTP). The best values of HFS's control parameters are determined by full factorial design. Computational results are compared with the genetic algorithm related to the HFSMTP at the literature. The result showed that the proposed HSA is effective for solving HFSMTP.en
dc.identifier.isbn978-1-4673-6601-4
dc.identifier.issn2473-4748
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55811
dc.identifier.wos000380551800051
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)
dc.relation.ispartof2015 6TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION, AND APPLIED OPTIMIZATION (ICMSAO)
dc.subjectHybrid flow shop
dc.subjectmultiprocessor task scheduling problem
dc.subjectharmony search algorithm
dc.subjectSWARM OPTIMIZATION
dc.subjectEngineering
dc.titleA HARMONY SEARCH ALGORITHM FOR HYBRID FLOW SHOP SCHEDULING WITH MULTIPROCESSOR TASK PROBLEMS
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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