Evaluating the Performance of L-SHADE with Competing Strategies on CEC2014 Single Parameter-operator Test Suite

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701GK9" target="_blank" >RIV/61988987:17610/16:A1701GK9 - 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

Evaluating the Performance of L-SHADE with Competing Strategies on CEC2014 Single Parameter-operator Test Suite

Popis výsledku v původním jazyce

A new variant of differential evolution algorithm is proposed. The new variant is a modification of the success-history based parameter adaptation of differential evolution using linear population size reduction (L-SHADE). In the newly proposed variant, adaptive mechanism of competing strategies is added. Four different strategies combining two kinds of mutation and two types of crossover compete in generating the new trial points and selection of the strategy to be used in the current step is based on the success in previous search steps. The proposed algorithm is applied to the benchmark set defined for Single parameter-operator set based case of Special Session and Competitions on Real-Parameter Single Objective Optimization on CEC2016. According to preliminary experiments, the proposed algorithm with competing strategies outperformed the original L-SHADE in most of the test problems.

Název v anglickém jazyce

Evaluating the Performance of L-SHADE with Competing Strategies on CEC2014 Single Parameter-operator Test Suite

Popis výsledku anglicky

A new variant of differential evolution algorithm is proposed. The new variant is a modification of the success-history based parameter adaptation of differential evolution using linear population size reduction (L-SHADE). In the newly proposed variant, adaptive mechanism of competing strategies is added. Four different strategies combining two kinds of mutation and two types of crossover compete in generating the new trial points and selection of the strategy to be used in the current step is based on the success in previous search steps. The proposed algorithm is applied to the benchmark set defined for Single parameter-operator set based case of Special Session and Competitions on Real-Parameter Single Objective Optimization on CEC2016. According to preliminary experiments, the proposed algorithm with competing strategies outperformed the original L-SHADE in most of the test problems.

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

CEC IEEE 2016

ISBN

9781509006229

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

1181-1187

Název nakladatele

IEEE

Místo vydání

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Místo konání akce

Vancouver

Datum konání akce

24. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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