Controlled Refresh of the Population in Differential Evolution for Real-World Problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F23%3AA2402LFR" target="_blank" >RIV/61988987:17310/23:A2402LFR - isvavai.cz</a>

Výsledek na webu

<a href="https://www.springerprofessional.de/en/controlled-refresh-of-the-population-in-differential-evolution-f/26039218" target="_blank" >https://www.springerprofessional.de/en/controlled-refresh-of-the-population-in-differential-evolution-f/26039218</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-42505-9_30" target="_blank" >10.1007/978-3-031-42505-9_30</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Controlled Refresh of the Population in Differential Evolution for Real-World Problems

Popis výsledku v původním jazyce

In this paper, a new variant of the Differential Evolution (DE) algorithm is proposed to control the diversity of individuals in the population. The proposed approach is based on the failure of individuals in successive generations. The positions of the unsuccessful individuals are refreshed by employing the position parameters of the successful individuals from the population. Two control parameters of the proposed approach are studied to eliminate inappropriate settings. These nine variants of newly designed DE variants are compared with the classic DE algorithm when solving the set of real-world problems CEC 2011. The results show a very promising ability to solve real-world problems when the DE uses the proposed mechanism with the appropriate settings.

Název v anglickém jazyce

Controlled Refresh of the Population in Differential Evolution for Real-World Problems

Popis výsledku anglicky

In this paper, a new variant of the Differential Evolution (DE) algorithm is proposed to control the diversity of individuals in the population. The proposed approach is based on the failure of individuals in successive generations. The positions of the unsuccessful individuals are refreshed by employing the position parameters of the successful individuals from the population. Two control parameters of the proposed approach are studied to eliminate inappropriate settings. These nine variants of newly designed DE variants are compared with the classic DE algorithm when solving the set of real-world problems CEC 2011. The results show a very promising ability to solve real-world problems when the DE uses the proposed mechanism with the appropriate settings.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

Artificial Intelligence and Soft Computing

ISBN

978-3-031-42504-2

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

352-362

Název nakladatele

Springer

Místo vydání

Cham, Switzerland

Místo konání akce

Zakopane, Polsko

Datum konání akce

18. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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