Publication detail

Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition

KŮDELA, J. HOLOUBEK, T. NEVORAL, T.

Original Title

Surrogate-Assisted Differential Evolution-Based Method for the ICSI’2022 Competition

Type

book chapter

Language

English

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.

Keywords

ICSI’2022 competition; Surrogate-assisted optimization; Differential evolution; Numerical optimization

Authors

KŮDELA, J.; HOLOUBEK, T.; NEVORAL, T.

Released

26. 6. 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

440

Pages to

449

Pages count

10

URL

https://link.springer.com/chapter/10.1007/978-3-031-09726-3_40

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",
  publisher="Springer, Cham",
  pages="440--449",
  doi="10.1007/978-3-031-09726-3\{_}40",
  isbn="978-3-031-09726-3",
  url="https://link.springer.com/chapter/10.1007/978-3-031-09726-3_40"
}