Evolution of Computational Structures in Uniform Cellular Automata

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111930" target="_blank" >RIV/00216305:26230/14:PU111930 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6900530" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6900530</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2014.6900530" target="_blank" >10.1109/CEC.2014.6900530</a>

Result language
angličtina
Original language name
Evolution of Computational Structures in Uniform Cellular Automata
Original language description
In this paper we present an approach for evolutionary design of computational processes in two-dimensional uniform binary cellular automata. A special representation technique called conditionally matching rules will be utilized to encode the transition functions of the cellular automata. The principle of the computational process in a cellular automaton is to interpret some cells as input bits some (possibly other) cells as output bits (i.e. the result) of the computation. The goal is to find using genetic algorithm a suitable transition function according to which a specific computation could be observed during the development of the cellular atuomation for all the possible binary combinations stored in the input cells. Both the input values and the result is represented by the state values of the cells. The input of the computation will be represented by the initial state of the cellular automaton. After a finite number of development steps the cells representing the output bits are expexted to contain the result of computation. It will be shown that non-trivial computations can be realized in uniform two-dimensional cellular array. In the experiments presented in this paper some different setups of conditionally matching rules and arrangement of the input and output cells will be investigated.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 IEEE Congress on Evolutionary Computation (CEC)
ISBN
978-1-4799-1488-3
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
2732-2739
Publisher name
IEEE Computational Intelligence Society
Place of publication
Beijing
Event location
Beijing
Event date
Jul 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000356684604001

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