On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244011" target="_blank" >RIV/61989100:27240/19:10244011 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8790230" target="_blank" >https://ieeexplore.ieee.org/document/8790230</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2019.8790230" target="_blank" >10.1109/CEC.2019.8790230</a>

Result language
angličtina
Original language name
On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm
Original language description
This article deals with the feedback control of system which contains randomness. As such system particle swarm optimization algorithm was selected. With some parameters setup, the particle swarm optimization algorithm does not converge to a single point, but particles are moving over the searching space. They oscillate and behave chaotically. This article looks at this problem from the time delay feedback control perspective. The selected particles are controlled to a stable point by adding small perturbations to the particle position. For the perturbation estimation, the analytic programming and self-organizing algorithm were used. (C) 2019 IEEE.
Czech name
—
Czech description
—

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
ISBN
978-1-72812-153-6
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
2886-2893
Publisher name
IEEE
Place of publication
Piscataway
Event location
Wellington
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502087102116

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