Multiple Choice Strategy - A Novel Approach for Particle Swarm Optimization - Preliminary Study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870056" target="_blank" >RIV/70883521:28140/13:43870056 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-38610-7_4" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-38610-7_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38610-7_4" target="_blank" >10.1007/978-3-642-38610-7_4</a>

Result language
angličtina
Original language name
Multiple Choice Strategy - A Novel Approach for Particle Swarm Optimization - Preliminary Study
Original language description
In this paper, a new promising strategy for PSO algorithm is proposed and described. This strategy presents alternative way of assigning new velocity to each particle in population. This new multiple choice particle swarm optimization (MC-PSO) algorithmis tested on four different test functions and the promising results of this alternative strategy are compared with the classic method.
Czech name
—
Czech description
—

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

Article name in the collection
Artificial Intelligence and Soft Computing Part II
ISBN
978-3-642-38609-1
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
36-45
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
Zakopane
Event date
Jun 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000326950400004

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