Publication detail
Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition
KŮDELA, J. HOLOUBEK, T. NEVORAL, T.
English title
Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition
Type
book chapter
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
ICSI’2022 competition; Surrogate-assisted optimization; Differential evolution; Numerical optimization
Released
26.06.2022
Publisher
Springer, Cham
ISBN
978-3-031-09726-3
Book
Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345.
Pages from–to
440–449
Pages count
10
BIBTEX
@inbook{BUT178336,
author="Jakub {Kůdela} and Tomáš {Holoubek} and Tomáš {Nevoral},
title="Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition",
booktitle="Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345.",
year="2022",
month="June",
pages="440--449",
publisher="Springer, Cham",
isbn="978-3-031-09726-3"
}