Competition on learning-based real-parameter single objective optimization by SOMA swarm based algorithm with SOMARemove strategy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86099246" target="_blank" >RIV/61989100:27740/16:86099246 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/16:86099246
Result on the web
<a href="http://dx.doi.org/10.1109/CEC.2016.7744428" target="_blank" >http://dx.doi.org/10.1109/CEC.2016.7744428</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2016.7744428" target="_blank" >10.1109/CEC.2016.7744428</a>
Alternative languages
Result language
angličtina
Original language name
Competition on learning-based real-parameter single objective optimization by SOMA swarm based algorithm with SOMARemove strategy
Original language description
In this participation, we are continuing in our research on swarm based algorithm SOMA - Self Organized Migrating Algorithm and its use on problems defined in Competition track at WCCI 2016. SOMA algorithm has been used exactly according to defined propositions and obtained results are reported here. The most problematics step has been setting of the SOMA algorithm. In this paper we describe not only SOMA principles, but also how and why the SOMA parameters has been set to its values. The used approach has been used on learning - based real-parameter single objective optimization in order to test an increase the performance of selected SOMA strategy.
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/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE Congress on Evolutionary Computation, CEC 2016
ISBN
978-1-5090-0622-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
4981-4987
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390749105022