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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
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6256475
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" }