Performance evaluation of the SOMA asynchronously parallel distribution

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869754" target="_blank" >RIV/70883521:28140/13:43869754 - isvavai.cz</a>
Result on the web
<a href="http://www.naun.org/multimedia/NAUN/mcs/16-639.pdf" target="_blank" >http://www.naun.org/multimedia/NAUN/mcs/16-639.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Performance evaluation of the SOMA asynchronously parallel distribution
Original language description
Self-Organising Migrating Algorithm (SOMA) is a very effective tool of evolutionary optimization. This paper deals with performed evaluation of asynchronous parallel version of SOMA, based on the strategy AllToOne. The experiment was focused on the dependence of the solution quality (finding the global extreme value or approximating to global extreme value) on the number of used algorithm threads. In total, 10 different test functions were employed. Each function had 100 dimensions to optimize and the optimization was always repeated 100 times for 1,2,3 and 4 threats. Overlay 4000 independent runs of SOMA were rune and statistically evaluated.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Mathematics and Computers in Simulations
ISSN
1998-0159
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
50-58
UT code for WoS article
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EID of the result in the Scopus database
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