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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

ISBN

978-1-72812-153-6

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

2886-2893

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Wellington

Datum konání akce

10. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000502087102116