Particle Swarm Optimization for Problems with Variable Number of Dimensions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123108" target="_blank" >RIV/00216305:26220/17:PU123108 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/0305215X.2017.1316845" target="_blank" >http://dx.doi.org/10.1080/0305215X.2017.1316845</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/0305215X.2017.1316845" target="_blank" >10.1080/0305215X.2017.1316845</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Particle Swarm Optimization for Problems with Variable Number of Dimensions

Popis výsledku v původním jazyce

Some real-life optimization problems show apart from the dependence on the combination of state variables also the dependence on the complexity of the model describing the problem. Changing model complexity implies changing the number of degrees of freedom (the number of decision space dimensions). A new method called Particle Swarm Optimization for Variable Number of Dimensions is developed here. The well-known particle swarm optimization procedure is modified to handle spaces with variable number of dimensions within a single run. Some well-known benchmark problems are modified to depend on the number of dimensions. Novel performance metrics are defined in the article to evaluate convergence properties of the method. Some recommendations for setting the optimization are made according to results of the method on the proposed benchmark test-suite. The method is compared with the conventional swarm strategies able to solve problems with variable number of dimensions.

Název v anglickém jazyce

Particle Swarm Optimization for Problems with Variable Number of Dimensions

Popis výsledku anglicky

Some real-life optimization problems show apart from the dependence on the combination of state variables also the dependence on the complexity of the model describing the problem. Changing model complexity implies changing the number of degrees of freedom (the number of decision space dimensions). A new method called Particle Swarm Optimization for Variable Number of Dimensions is developed here. The well-known particle swarm optimization procedure is modified to handle spaces with variable number of dimensions within a single run. Some well-known benchmark problems are modified to depend on the number of dimensions. Novel performance metrics are defined in the article to evaluate convergence properties of the method. Some recommendations for setting the optimization are made according to results of the method on the proposed benchmark test-suite. The method is compared with the conventional swarm strategies able to solve problems with variable number of dimensions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

ENGINEERING OPTIMIZATION

ISSN

0305-215X

e-ISSN

1029-0273

Svazek periodika

49

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

382-399

Kód UT WoS článku

000423746200002

EID výsledku v databázi Scopus

2-s2.0-85018171116