Publication detail

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

KŮDELA, J. NEVORAL, T. HOLOUBEK, T.

Original Title

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

Type

book chapter

Language

English

Original Abstract

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.

Keywords

ICSI’2022 competition; Evolutionary strategy; Differential evolution; Numerical optimization; Composite method

Authors

KŮDELA, J.; NEVORAL, T.; HOLOUBEK, 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

432

Pages to

439

Pages count

8

URL

https://link.springer.com/chapter/10.1007/978-3-031-09726-3_39

BibTex

@inbook{BUT178337,
  author="Jakub {Kůdela} and Tomáš {Nevoral} and Tomáš {Holoubek}",
  title="Composite Evolutionary Strategy and Differential Evolution 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="432--439",
  doi="10.1007/978-3-031-09726-3\{_}39",
  isbn="978-3-031-09726-3",
  url="https://link.springer.com/chapter/10.1007/978-3-031-09726-3_39"
}