Two Effective Algorithms Optimize Together
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F23%3AA0001193" target="_blank" >RIV/47813059:19240/23:A0001193 - isvavai.cz</a>
Result on the web
<a href="https://ceur-ws.org/Vol-3498/paper17.pdf" target="_blank" >https://ceur-ws.org/Vol-3498/paper17.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Two Effective Algorithms Optimize Together
Original language description
In this paper, we focus on the ongoing research of the Cooperation algorithm, which combines features of the established and successful GWO and jSO optimization algorithms. We introduce a new enhancement using the stagnation parameter, which ensures switching between the two algorithms when no further improvements are achieved during the optimization process. We test different settings of the stagnation parameter and find its effect on the performance of the Cooperation algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
23rd Conference Information Technologies - Applications and Theory, ITAT 2023
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
8
Pages from-to
139-146
Publisher name
CEUR-WS
Place of publication
Tatranské Matliare (Slovensko)
Event location
Tatranské Matliare, Slovensko
Event date
Sep 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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