jSO and GWO Algorithms Optimize Together

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F22%3AA0001031" target="_blank" >RIV/47813059:19240/22:A0001031 - isvavai.cz</a>

Výsledek na webu

<a href="https://ceur-ws.org/Vol-3226/paper18.pdf" target="_blank" >https://ceur-ws.org/Vol-3226/paper18.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

jSO and GWO Algorithms Optimize Together

Popis výsledku v původním jazyce

This paper deals with global optimization. There are many algorithms for global optimization in the literature. In this text, we focus on two effective optimizers. The first one is an adaptive version of Differential evolution algorithm which was the most successful version of the algorithm on CEC 2014 congress and is called the jSO algorithm. The second one is the Grey wolf optimizer which was introduced in 2014. We propose new algorithm cooperation in which both of these algorithms are used together to get better results when optimization problems are being solved. In our attempt, both algorithms take turns making the optimization process. We tested the proposed algorithm on four multi-modal functions on two levels of dimension. The results are quite promising.

Název v anglickém jazyce

jSO and GWO Algorithms Optimize Together

Popis výsledku anglicky

This paper deals with global optimization. There are many algorithms for global optimization in the literature. In this text, we focus on two effective optimizers. The first one is an adaptive version of Differential evolution algorithm which was the most successful version of the algorithm on CEC 2014 congress and is called the jSO algorithm. The second one is the Grey wolf optimizer which was introduced in 2014. We propose new algorithm cooperation in which both of these algorithms are used together to get better results when optimization problems are being solved. In our attempt, both algorithms take turns making the optimization process. We tested the proposed algorithm on four multi-modal functions on two levels of dimension. The results are quite promising.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

22nd Conference Information Technologies - Applications and Theory, ITAT 2022

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

8

Strana od-do

159-166

Název nakladatele

CEUR-WS

Místo vydání

Slovensko

Místo konání akce

Zuberec, Slovensko

Datum konání akce

23. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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