Adaptation of Population Size According to Current Population Diversity in Differential Evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801ORO" target="_blank" >RIV/61988987:17610/17:A1801ORO - 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

Adaptation of Population Size According to Current Population Diversity in Differential Evolution

Popis výsledku v původním jazyce

A new mechanism for the adaptation of population size in differential evolution (DE) is described and applied to CEC 2014 test suite. The adaptive mechanism is based on linear reduction of the population diversity and enables both decreasing and increasing the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is compared. Moreover, this new mechanism is also compared with the linear reduction of population size used in L-SHADE and its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of efficiency occurs rarely.

Název v anglickém jazyce

Adaptation of Population Size According to Current Population Diversity in Differential Evolution

Popis výsledku anglicky

A new mechanism for the adaptation of population size in differential evolution (DE) is described and applied to CEC 2014 test suite. The adaptive mechanism is based on linear reduction of the population diversity and enables both decreasing and increasing the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is compared. Moreover, this new mechanism is also compared with the linear reduction of population size used in L-SHADE and its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of efficiency occurs rarely.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings

ISBN

978-1-5386-2725-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

2627-2634

Název nakladatele

IEEE

Místo vydání

Piscataway, USA

Místo konání akce

Honolulu

Datum konání akce

27. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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