Parallel Migration Models Applied to Competitive Differential Evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA12013DZ" target="_blank" >RIV/61988987:17310/11:A12013DZ - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Parallel Migration Models Applied to Competitive Differential Evolution

Popis výsledku v původním jazyce

The influence of parallelism on the performance of competitive adaptive differential evolution is studied. Two serial competitive differential evolution variants described in literature and sixteen novel parallel variants were experimentally compared. All the parallel differential evolution variants in this study are based on a migration model with the star topology. The algorithms were compared on six benchmark functions with two levels of dimension (D = 10 and D = 30). The number of the function evaluations and the reliability rate of the search were used as basic characteristics of algorithm?s performance. The experimental results show that the parallelism applied to competitive differential evolution together with a proper setting of the parameterscontrolling the parallel model can improve the performance of the algorithm and decrease the computational costs significantly at least in some problems.

Název v anglickém jazyce

Parallel Migration Models Applied to Competitive Differential Evolution

Popis výsledku anglicky

The influence of parallelism on the performance of competitive adaptive differential evolution is studied. Two serial competitive differential evolution variants described in literature and sixteen novel parallel variants were experimentally compared. All the parallel differential evolution variants in this study are based on a migration model with the star topology. The algorithms were compared on six benchmark functions with two levels of dimension (D = 10 and D = 30). The number of the function evaluations and the reliability rate of the search were used as basic characteristics of algorithm?s performance. The experimental results show that the parallelism applied to competitive differential evolution together with a proper setting of the parameterscontrolling the parallel model can improve the performance of the algorithm and decrease the computational costs significantly at least in some problems.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

ISBN

978-0-7695-4630-8

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

306-313

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Timisoara, Romania

Datum konání akce

26. 9. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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