Composite Evolutionary Strategy and Differential Evolution Method for the ICSI’2022 Competition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144874" target="_blank" >RIV/00216305:26210/22:PU144874 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-09726-3_39" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-09726-3_39</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-09726-3_39" target="_blank" >10.1007/978-3-031-09726-3_39</a>

Result language
angličtina
Original language name
Composite Evolutionary Strategy and Differential Evolution Method for the ICSI’2022 Competition
Original language description
In this paper, a composite method for bound constrained optimization called Composite Evolutionary Strategy and Differential Evolution (CESDE) is described. This method combines two well-performing methods from the Congress on Evolutionary Computation Competitions. Through numerical investigation on the ICSI’2022 benchmark set, the favourite scheme for combining the two methods was determined, and it was found that CESDE outperforms both of its “parental” methods on all studied instances.
Czech name
—
Czech description
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Type
C - Chapter in a specialist book
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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

Book/collection name
Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345.
ISBN
978-3-031-09726-3
Number of pages of the result
8
Pages from-to
432-439
Number of pages of the book
454
Publisher name
Springer, Cham
Place of publication
Neuveden
UT code for WoS chapter
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