Detail publikačního výsledku

Discretization of Decision Variables in Optimization Algorithms

MAREK, M.; KADLEC, P.

Originální název

Discretization of Decision Variables in Optimization Algorithms

Anglický název

Discretization of Decision Variables in Optimization Algorithms

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Anglický 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

Klíčová slova v angličtině

Optimization, evolutionary algorithms, discrete decision space

Autoři

MAREK, M.; KADLEC, P.

Rok RIV

2019

Vydáno

26.04.2018

Místo

Brno

ISBN

978-80-214-5614-3

Kniha

Proceedings of the 24th Conference STUDENT EEICT 2018

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"
}