Population-size adaptation through diversity-control mechanism for differential evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701H21" target="_blank" >RIV/61988987:17610/16:A1701H21 - 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

Population-size adaptation through diversity-control mechanism for differential evolution

Popis výsledku v původním jazyce

A new method of the population-size adaptation for differential evolution (DE) is proposed. The adaptation is based on decreasing or increasing the population size in dependence on the current measure of the population diversity. The proposed method was implemented to six DE variants using a fixed population size in their original versions. The DE variants for experimental comparison were selected from the set of the state-of-the-art algorithms as well as from the well-performing variants that have appeared in literature recently. Experimental comparison was carried out on the CEC 2014 benchmark suite at three levels of problem dimension. The results of the experimental comparison demonstrate the benefit provided by the application of the proposed adaptive mechanism for the performance of the algorithms.

Název v anglickém jazyce

Population-size adaptation through diversity-control mechanism for differential evolution

Popis výsledku anglicky

A new method of the population-size adaptation for differential evolution (DE) is proposed. The adaptation is based on decreasing or increasing the population size in dependence on the current measure of the population diversity. The proposed method was implemented to six DE variants using a fixed population size in their original versions. The DE variants for experimental comparison were selected from the set of the state-of-the-art algorithms as well as from the well-performing variants that have appeared in literature recently. Experimental comparison was carried out on the CEC 2014 benchmark suite at three levels of problem dimension. The results of the experimental comparison demonstrate the benefit provided by the application of the proposed adaptive mechanism for the performance of the algorithms.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

MENDEL 2016 22nd International Conference on Soft Computing

ISBN

9788021453654

ISSN

1803-3814

e-ISSN

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Počet stran výsledku

8

Strana od-do

49-56

Název nakladatele

Brno University of Technology

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

8. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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