Many-threaded implementation of differential evolution for the CUDA platform

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085023" target="_blank" >RIV/61989100:27240/11:86085023 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2001576.2001791" target="_blank" >http://dx.doi.org/10.1145/2001576.2001791</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2001576.2001791" target="_blank" >10.1145/2001576.2001791</a>

Result language
angličtina
Original language name
Many-threaded implementation of differential evolution for the CUDA platform
Original language description
Differential evolution is an efficient populational meta -- heuristic optimization algorithm successful in solving difficult real world problems. Due to the simplicity of its operations and data structures, it is suitable for a parallel implementation onmulticore systems and on the GPU. In this paper, we design a simple yet highly parallel implementation of the differential evolution using the CUDA architecture. We demonstrate the speedup obtained by the proposed parallelization of the differential evolution on an NP hard combinatorial optimization problem and on a benchmark function of many variables.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Genetic and Evolutionary Computation Conference, GECCO'11
ISBN
978-1-4503-0557-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1595-1602
Publisher name
ACM
Place of publication
New York
Event location
Dublin
Event date
Jul 12, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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