Enhanced Success-history Based Parameter Adaptation for Differential Evolution and Real-World Optimization Problems

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced Success-history Based Parameter Adaptation for Differential Evolution and Real-World Optimization Problems

Popis výsledku v původním jazyce

An enhanced adaptive differential evolution algorithm is described and applied to the CEC 2011 test suite of real-world optimization problems. The new algorithm combines success-history based adaptation known from SHADE and the competition of the various strategies in differential evolution. The comparison of the newly proposed algorithm (called SHADE4) with the algorithm winning in CEC 2011 competition shows that the new algorithm performs signicantly better in 11 out of 22 test problems and worse only in four problems. The performance of SHADE4 was also signicantly better than the original SHADE. The new algorithm is almost control-parameter free, which is helpful to its usage in the solution of the real-world problems.

Název v anglickém jazyce

Enhanced Success-history Based Parameter Adaptation for Differential Evolution and Real-World Optimization Problems

Popis výsledku anglicky

An enhanced adaptive differential evolution algorithm is described and applied to the CEC 2011 test suite of real-world optimization problems. The new algorithm combines success-history based adaptation known from SHADE and the competition of the various strategies in differential evolution. The comparison of the newly proposed algorithm (called SHADE4) with the algorithm winning in CEC 2011 competition shows that the new algorithm performs signicantly better in 11 out of 22 test problems and worse only in four problems. The performance of SHADE4 was also signicantly better than the original SHADE. The new algorithm is almost control-parameter free, which is helpful to its usage in the solution of the real-world problems.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

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

Bioinspired Optimization Methods and their Applications, BIOMA 2016

ISBN

978-961-264-093-4

ISSN

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e-ISSN

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Počet stran výsledku

13

Strana od-do

159-171

Název nakladatele

Jožef Stefana Institute

Místo vydání

Ljubljana, Slovenia

Místo konání akce

Bled, Slovinsko

Datum konání akce

18. 5. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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