About: Multi-Objective Differential Evolution on the GPU with C-CUDA

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In some applications, evolutionary algorithms may require high computa- tional resources and high processing power, sometimes not producing a satisfactory solution after a running for a considerable amount of time. One possible improve- ment is a parallel approach to reduce the response time. This work proposes to study a parallel multi-objective algorithm, the multi-objective version of Differential Evo- lution (DE). The generation of trial individuals can be done in parallel, greatly re- ducing the overall processing time of the algorithm. A novel approach to parallelize this algorithm is the implementation on the Graphic Processing Units (GPU). These units present high degree of parallelism and they were initially developed for image rendering. However, NVIDIA has released a framework, named CUDA, which al- lows developers to use GPU for general-purpose computing (GPGPU). This work studies the implementation of Multi-Objective DE (MODE) on the GPU with C- CUDA, evaluating the gain in processing time against the sequential version. Bench- mark functions are used to validate the implementation and to confirm the efficiency of MODE on the GPU. The results show that the approach achieves an expressive speed up and a highly efficient processing power. In some applications, evolutionary algorithms may require high computa- tional resources and high processing power, sometimes not producing a satisfactory solution after a running for a considerable amount of time. One possible improve- ment is a parallel approach to reduce the response time. This work proposes to study a parallel multi-objective algorithm, the multi-objective version of Differential Evo- lution (DE). The generation of trial individuals can be done in parallel, greatly re- ducing the overall processing time of the algorithm. A novel approach to parallelize this algorithm is the implementation on the Graphic Processing Units (GPU). These units present high degree of parallelism and they were initially developed for image rendering. However, NVIDIA has released a framework, named CUDA, which al- lows developers to use GPU for general-purpose computing (GPGPU). This work studies the implementation of Multi-Objective DE (MODE) on the GPU with C- CUDA, evaluating the gain in processing time against the sequential version. Bench- mark functions are used to validate the implementation and to confirm the efficiency of MODE on the GPU. The results show that the approach achieves an expressive speed up and a highly efficient processing power. (en)
Title	Multi-Objective Differential Evolution on the GPU with C-CUDA Multi-Objective Differential Evolution on the GPU with C-CUDA (en)
skos:prefLabel	Multi-Objective Differential Evolution on the GPU with C-CUDA Multi-Objective Differential Evolution on the GPU with C-CUDA (en)
skos:notation	RIV/61989100:27240/12:86083948!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Davendra, Donald David
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	152412
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/12:86083948
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CUDA, Differential Evolution (en)
http://linked.open.../riv/klicoveSlovo	CUDA Differential Evolution
http://linked.open...ontrolniKodProRIV	[8DF76372717B]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Advances in Intelligent Systems and Computing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Davendra, Donald David Bernardes de Oliveira, Fernando Guimares, Frederico Gadelha
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-09-05 (xsd:date)
issn	2194-5357
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-32921-0
http://localhost/t...ganizacniJednotka	27240

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