Detail publikace

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

KŮDELA, J. NEVORAL, T. HOLOUBEK, T.

Originální název

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

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

KŮDELA, J.; NEVORAL, T.; HOLOUBEK, T.

Vydáno

26. 6. 2022

Nakladatel

Springer, Cham

ISBN

978-3-031-09726-3

Kniha

Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13345.

Strany od

432

Strany do

439

Strany počet

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"
}