An adaptive variant of jSO with multiple crossover strategies employing Eigen transformation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F22%3AA2302GVA" target="_blank" >RIV/61988987:17310/22:A2302GVA - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9870378" target="_blank" >https://ieeexplore.ieee.org/document/9870378</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC55065.2022.9870378" target="_blank" >10.1109/CEC55065.2022.9870378</a>

Result language
angličtina
Original language name
An adaptive variant of jSO with multiple crossover strategies employing Eigen transformation
Original language description
In this paper, new strategy options are developed for the adaptive jSO algorithm. The proposed variant of jSO is based on the competition of a binomial and exponential crossover. Moreover, an Eigen transformation approach is employed in the selected crossover with a given probability. The proposed variant of jSO is applied to the CEC 2022 benchmark set, which contains 12 functions with dimensionality D=10, 20. The proposed algorithm found the optima values in seven problems out of 24. When comparing the new variant of jSO with the original jSO algorithm, nine functions were improved, where two of them significantly.
Czech name
—
Czech description
—

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2022 IEEE Congress on Evolutionary Computation (CEC)
ISBN
978-1-6654-6708-7
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
Piscataway, NJ, USA
Event location
Padua, Italy
Event date
Jul 18, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000859282000161

Similar results(10)