Detail publikace

Discretization of Decision Variables in Optimization Algorithms

MAREK, M. KADLEC, P.

Originální název

Discretization of Decision Variables in Optimization Algorithms

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents a verification of universal method for discretization of decision space in optimization algorithms. Real-world optimization tasks frequently use discontinuous decision variables and in order to effectively optimize such tasks, it is necessary to exploit an optimization algorithm that meets such requirement. Unfortunately, very few evolutionary algorithms can naturally work with discontinuous decision space. The method that entitles all optimization algorithms to effectively solve problems with discrete variables is here described and experimentally verified.

Klíčová slova

Optimization, evolutionary algorithms, discrete decision space

Autoři

MAREK, M.; KADLEC, P.

Vydáno

26. 4. 2018

Místo

Brno

ISBN

978-80-214-5614-3

Kniha

Proceedings of the 24th Conference STUDENT EEICT 2018

Číslo edice

1.

Strany od

320

Strany do

324

Strany počet

5

BibTex

@inproceedings{BUT147344,
  author="Martin {Marek} and Petr {Kadlec}",
  title="Discretization of Decision Variables in Optimization Algorithms",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  year="2018",
  number="1.",
  pages="320--324",
  address="Brno",
  isbn="978-80-214-5614-3"
}