Publication detail

Evolution of Cellular Automata Using Instruction-Based Approach

BIDLO, M. VAŠÍČEK, Z.

Original Title

Evolution of Cellular Automata Using Instruction-Based Approach

Type

conference paper

Language

English

Original Abstract

This paper introduces a method of encoding cellular automata local transition function using an instruction-based approach and their design by means of genetic algorithms. The proposed method represents an indirect mapping between the input combinations of states in the cellular neighborhood and the next states of the cells during the development steps. In this case the local transition function is described by a program (algorithm) whose execution calculates the next cell states. The objective of the program-based representation is to reduce the length of the chromosome in case of the evolutionary design of cellular automata. It will be shown that the instruction-based development allows us to design complex cellular automata with higher success rate than the conventional table-based method especially for complex cellular automata with more than two cell states. The case studies include the replication problem and the problem of development of a given pattern from an initial seed.

Keywords

Cellular automaton, development, replication, evolutionary design.

Authors

BIDLO, M.; VAŠÍČEK, Z.

RIV year

2012

Released

23. 1. 2012

Publisher

Institute of Electrical and Electronics Engineers

Location

CA

ISBN

978-1-4673-1508-1

Book

2012 IEEE World Congress on Computational Intelligence

Pages from

1060

Pages to

1067

Pages count

8

URL

BibTex

@inproceedings{BUT96927,
  author="Michal {Bidlo} and Zdeněk {Vašíček}",
  title="Evolution of Cellular Automata Using Instruction-Based Approach",
  booktitle="2012 IEEE World Congress on Computational Intelligence",
  year="2012",
  pages="1060--1067",
  publisher="Institute of Electrical and Electronics Engineers",
  address="CA",
  doi="10.1109/CEC.2012.6256475",
  isbn="978-1-4673-1508-1",
  url="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6256475"
}