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Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
An adaptive variant of jSO with multiple crossover strategies employing Eigen transformation
Citace
Kolenovský, P. a Bujok, P. An adaptive variant of jSO with multiple crossover strategies employing Eigen transformation.
In:
2022 IEEE Congress on Evolutionary Computation: 2022 IEEE Congress on Evolutionary Computation (CEC) 2022-07-18 Padua, Italy.
Piscataway, NJ, USA: IEEE, 2022. s. 1-8. ISBN 978-1-6654-6708-7.
Subtitle
Publication year:
2022
Obor:
Informatika
Number of pages:
8
Page from:
1
Page to:
8
Form of publication:
Elektronická verze
ISBN code:
978-1-6654-6708-7
ISSN code:
Proceedings title:
2022 IEEE Congress on Evolutionary Computation (CEC)
Proceedings:
Mezinárodní
Publisher name:
IEEE
Place of publishing:
Piscataway, NJ, USA
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
2022 IEEE Congress on Evolutionary Computation
Místo konání konference:
Padua, Italy
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000859282000161
EID:
2-s2.0-85138735618
Key words in English:
jSO, multiple crossover strategies, Eigen transformation, experiments, test problems
Annotation in original language:
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.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/22:A2302GVA
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