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CUDA Based Enhanced Differential Evolution: A Computational Analysis

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dc.title CUDA Based Enhanced Differential Evolution: A Computational Analysis en
dc.contributor.author Davendra, Donald David
dc.contributor.author Gaura, Jan
dc.contributor.author Bialic-Davendra, Magdalena Lucyna
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Proceedings 26th European Conference on Modelling and Simulation ECMS 2012
dc.identifier.isbn 978-095649444-3
dc.date.issued 2012
dc.citation.spage 399
dc.citation.epage 404
dc.event.title 26th European Conference on Modelling and Simulation (ECMS 2012)
dc.event.location Koblenz
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2012-05-29
dc.event.edate 2012-06-01
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council Modelling & Simulation
dc.identifier.doi 10.7148/2012-0399-0404
dc.relation.uri http://www.scs-europe.net/conf/ecms2012/ecms2012%20accepted%20papers/is_ECMS_0149.pdf
dc.relation.uri http://hgpu.org/?p=7604
dc.subject Differential evolution en
dc.subject flowshop scheduling en
dc.subject CUDA en
dc.description.abstract General purpose graphic programming unit (GPGPU) programming is a novel approach for solving parallel variable independent problems. The graphic processor core (GPU) gives the possibility to use multiple blocks, each of which contains hundreds of threads. Each of these threads can be visualized as a core onto itself, and tasks can be simultaneously sent to all the threads for parallel evaluations. This research explores the advantages of applying a evolutionary algorithm (EA) on the GPU in terms of computational speedups. Enhanced Differential Evolution (EDE) is applied to the generic permutative flowshop scheduling (PFSS) problem both using the central processing unit (CPU) and the GPU, and the results in terms of execution time is compared. en
utb.faculty Faculty of Applied Informatics
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003778
utb.identifier.obdid 43868749
utb.identifier.scopus 2-s2.0-85085401025
utb.identifier.wok 000319084600059
utb.source d-wok
dc.date.accessioned 2014-07-07T13:43:55Z
dc.date.available 2014-07-07T13:43:55Z
utb.contributor.internalauthor Bialic-Davendra, Magdalena Lucyna
utb.contributor.internalauthor Šenkeřík, Roman
utb.scopus.affiliation Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic; Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic; Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic
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