Versatile Function GPA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922637" target="_blank" >RIV/00216275:25530/24:39922637 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10900916" target="_blank" >https://ieeexplore.ieee.org/document/10900916</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Informatics62280.2024.10900916" target="_blank" >10.1109/Informatics62280.2024.10900916</a>

Result language
angličtina
Original language name
Versatile Function GPA
Original language description
This herein presented paper is dedicated to the introduction of the continuous versatile function Genetic Programming Algorithm (GPA) developed with respect to BigData processing. The basic structure of this hierarchical evolutionary algorithm and examples of versatile functions are presented.On the basis of experiments with the hybrid evolutionary algorithm (hybrid EA) providing symbolic regression of precomputed Lorenz attractor system data representing hybrid EA’s behaviour a discussion of examples of an obtained solution is presented. The versatile function concept GPA is applicable, but it requires the hybrid evolutionary algorithm application, as is demonstrated in the paper.
Czech name
—
Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Informatics 2024 : 2024 IEEE 17th International Scientific Conference on Informatics : proceedings
ISBN
979-8-3503-8766-7
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
"448 "- 452
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Poprad
Event date
Nov 13, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001483035700076

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