Surrogate-Assisted Differential Evolution-Based 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%3APU144872" target="_blank" >RIV/00216305:26210/22:PU144872 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-09726-3_40" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-09726-3_40</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-09726-3_40" target="_blank" >10.1007/978-3-031-09726-3_40</a>

Result language
angličtina
Original language name
Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition
Original language description
In this paper, a method called Lipschitz-surrogate Assisted Differential Evolution (LSADE) is described. The method uses two different surrogates: a standard radial basis function one and a specialized one based on a Lipschitz condition. It also uses two optimization methods: differential evolution and sequential quadratic programming. The LSADE method is investigated on the benchmark set of the ICSI’2022 competition and is compared with two other high-performing methods for bound constrained optimization, outperforming them both on the studied benchmark set.
Czech name
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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
10
Pages from-to
440-449
Number of pages of the book
454
Publisher name
Springer, Cham
Place of publication
Neuveden
UT code for WoS chapter
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