GLOBAL CONVERGENCE LIMITS OF DIFFERENTIAL EVOLUTION ALGORITHM

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F24%3A00012419" target="_blank" >RIV/46747885:24510/24:00012419 - isvavai.cz</a>
Result on the web
<a href="https://scs-europe.net/conf/ecms2024/" target="_blank" >https://scs-europe.net/conf/ecms2024/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7148/2024-0387" target="_blank" >10.7148/2024-0387</a>

Result language
angličtina
Original language name
GLOBAL CONVERGENCE LIMITS OF DIFFERENTIAL EVOLUTION ALGORITHM
Original language description
In a recent period, evolutionary optimization techniques have been increasingly utilized for solving technical and scientific optimization tasks. The differential evolution algorithm is one of the most used optimization tools. This specific algorithm is often and in many published sources classified as a global optimizer. Such statements indicate that the differential evolution algorithm can identify the global minimum of a specific cost function. In the article, we demonstrate rigorously and in a simple way that in some special circumstances, this algorithm fails and is prone to premature convergence to a local minimum of the cost function.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 38th ECMS International Conference on Modelling and Simulation ECMS 2024
ISBN
978-3-937436-83-8
ISSN
2522-2414
e-ISSN
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Number of pages
7
Pages from-to
387-393
Publisher name
Cracow University of Technology, Poland
Place of publication
Cracow
Event location
Krakow
Event date
Jan 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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