Genetic algorithm for clustering accelerated by the CUDA platform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084950" target="_blank" >RIV/61989100:27240/12:86084950 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377860" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2012.6377860</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377860" target="_blank" >10.1109/ICSMC.2012.6377860</a>
Alternative languages
Result language
angličtina
Original language name
Genetic algorithm for clustering accelerated by the CUDA platform
Original language description
Unsupervised clustering of large data sets is a complicated NP-hard task. Due to its complexity, various metaheuristic machine learning algorithms have been used to automate or aid the clustering process. Genetic and evolutionary algorithms have been deployed to find clusters in data sets with success. However, also evolutionary clustering suffers from the high computational demands when it comes to fitness function evaluation. The GPU computing is a recent programming and development paradigm introducing high performance parallel computing to general audience. This work presents an initial design and implementation of a genetic algorithm for density based clustering on the GPU using the nVidia CUDA platform.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2012
ISBN
978-1-4673-1714-6
ISSN
1062-922X
e-ISSN
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Number of pages
6
Pages from-to
1005-1010
Publisher name
IEEE
Place of publication
Piscataway
Event location
Soul
Event date
Oct 14, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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