The Initial Study on the Potential of Super-Sized Swarm in PSO
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096858" target="_blank" >RIV/61989100:27240/15:86096858 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/15:43873605
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-19824-8_10" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-19824-8_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_10" target="_blank" >10.1007/978-3-319-19824-8_10</a>
Alternative languages
Result language
angličtina
Original language name
The Initial Study on the Potential of Super-Sized Swarm in PSO
Original language description
In this initial study it is addressed the issue of population size for the PSO algorithm. For many years now it is understood that population size of several dozens is sufficient for the vast majority of optimization tasks. With strict limitation of costfunction evaluations (CFEs) the setting is typically limited to adjusting the number of iterations of the algorithm. In this study it is investigated the possibility of using population of thousands of particles and its effect on the performance of thealgorithm in limited CFEs. It is also proposed an alternative setting of acceleration constants in order to improve the performance of the PSO with super-sized population. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set and compared with original PSO design and state of art methods.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in intelligent systems and computing. Volume 378
ISBN
978-3-319-19823-1
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
149-158
Publisher name
Springer
Place of publication
Berlin
Event location
Brno
Event date
Jun 23, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000364847700010