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Publikační činnost
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stať ve sborníku (D)
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Katedra informatiky a počítačů (31400)
Title:
On the Performance and Complexity of Crossover in Differential Evolution Algorithm
Citace
Bujok, P. On the Performance and Complexity of Crossover in Differential Evolution Algorithm.
In:
19th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2020): Lecture Notes in Artificial Intelligence 12416 2020-10-12 Zakopane, Polsko.
Cham, Switzerland: Springer, 2020. s. 363-375. ISBN 978-3-030-61400-3.
Subtitle
Publication year:
2020
Obor:
Informatika
Number of pages:
13
Page from:
363
Page to:
375
Form of publication:
Elektronická verze
ISBN code:
978-3-030-61400-3
ISSN code:
Proceedings title:
Lecture Notes in Artificial Intelligence 12416
Proceedings:
Mezinárodní
Publisher name:
Springer
Place of publishing:
Cham, Switzerland
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
19th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2020)
Conference venue:
Zakopane, Polsko
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
2-s2.0-85096562462
Key words in English:
Differential evolution; Crossover; Time complexity; Real-world problems; Experimental study
Annotation in original language:
In this study, the efficiency and complexity of four different crossover variants in Differential evolution (DE) algorithm are experimentally studied. Three well-known crossover variants with a newly designed crossover are applied in nine state-of-the-art and one standard DE algorithm. The results obtained from CEC 2011 real-world problems showed a significant difference between different DE variants and crossover types in performance and time complexity. Higher time complexity is for Eigen crossover, higher efficiency s for newly designed crossover.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/20:A21026EE
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