On Routine Evolution of Complex Cellular Automata
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121680" target="_blank" >RIV/00216305:26230/16:PU121680 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7377086" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7377086</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TEVC.2016.2516242" target="_blank" >10.1109/TEVC.2016.2516242</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On Routine Evolution of Complex Cellular Automata
Popis výsledku v původním jazyce
The paper deals with a special technique, called conditionally matching rules, for the representation of transition functions of cellular automata and its application to the evolutionary design of complex multi-state cellular automata. The problem of designing replicating loops in two-dimensional cellular automata and the square calculation in one-dimensional cellular automata will be treated as case studies. It will be shown that the evolutionary algorithm in combination with conditionally matching rules is able to successfully solve these tasks and provide some innovative results compared to existing solutions. In particular, a novel replication scheme will be presented that exhibits a higher replication speed in comparison with the existing replicating loops. As regards the square calculation, some results have been obtained that allow a substantial reduction of the number of steps of the cellular automaton against the currently known solution. The utilisation of the conditionally matching rules in the proposed experiments represents the first case of a successful automatic evolutionary design of complex cellular automata for solving non-trivial problems in which the existing conventional approaches have failed.
Název v anglickém jazyce
On Routine Evolution of Complex Cellular Automata
Popis výsledku anglicky
The paper deals with a special technique, called conditionally matching rules, for the representation of transition functions of cellular automata and its application to the evolutionary design of complex multi-state cellular automata. The problem of designing replicating loops in two-dimensional cellular automata and the square calculation in one-dimensional cellular automata will be treated as case studies. It will be shown that the evolutionary algorithm in combination with conditionally matching rules is able to successfully solve these tasks and provide some innovative results compared to existing solutions. In particular, a novel replication scheme will be presented that exhibits a higher replication speed in comparison with the existing replicating loops. As regards the square calculation, some results have been obtained that allow a substantial reduction of the number of steps of the cellular automaton against the currently known solution. The utilisation of the conditionally matching rules in the proposed experiments represents the first case of a successful automatic evolutionary design of complex cellular automata for solving non-trivial problems in which the existing conventional approaches have failed.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-04197S" target="_blank" >GA14-04197S: Pokročilé metody evolučního návrhu složitých číslicových obvodů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
ISSN
1089-778X
e-ISSN
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Svazek periodika
20
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
13
Strana od-do
742-754
Kód UT WoS článku
000385241600007
EID výsledku v databázi Scopus
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