Publication Details

Ant Colony Optimisation for Performing Computational Task in Cellular Automata

BIDLO, M.; KORGO, J. Ant Colony Optimisation for Performing Computational Task in Cellular Automata. Mendel Journal series, 2019, vol. 25, no. 1, p. 147-156. ISSN: 1803-3814.
Czech title
Využití optimalizace kolonií mravenců pro řešení výpočetních úloh v celulárních automatech
Type
journal article
Language
English
Authors
Bidlo Michal, doc. Ing., Ph.D. (DCSY)
Korgo Jakub, Ing.
URL
Keywords

cellular automaton, ant system, computational task, square calculation

Abstract

A method is presented for the design of cellular automata rules by means of ant
algorithms. In particular, Elitist Ant System and a~modified MAX-MIN Ant System
are applied to search for transition functions of 1D cellular automata that are
able to calculate squares of given input values. It will be shown that the
proposed MAX-MIN Ant System can perform significantly better than the standard
variant of Elitist Ant System. In particular, in the most advanced case study,
the ant algorithm showed an ability to design a~complete set of elementary
cellular automata rules that fulfil the required square calculations. Some
selected results will be presented and their features discussed.

Published
2019
Pages
147–156
Journal
Mendel Journal series, vol. 25, no. 1, ISSN 1803-3814
DOI
10.13164/mendel.2019.1.147
EID Scopus
2-s2.0-85071469131
BibTeX 
@article{BUT158080,
  author="Michal {Bidlo} and Jakub {Korgo}",
  title="Ant Colony Optimisation for Performing Computational Task in Cellular Automata",
  journal="Mendel Journal series",
  year="2019",
  volume="25",
  number="1",
  pages="147--156",
  doi="10.13164/mendel.2019.1.147",
  issn="1803-3814",
  url="https://mendel-journal.org/index.php/mendel/article/view/91/117"
}
Files
Back to top