Evolutionary-Estimated Programming the Turing Machine by Differential Evolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63509007" target="_blank" >RIV/70883521:28140/10:63509007 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary-Estimated Programming the Turing Machine by Differential Evolution

Popis výsledku v původním jazyce

his research deals with employing an artificial intelligence at estimating the rules for programming the Turing machine. The aim of this project is to simplify a programming process, which consists of designing the Turing machine?s transition function. This is realized by using artificial intelligence for performing composition of the rules which map responses of the transition function in dependence on its arguments. Within the research, there were chosen a few of suitable artificial intelligence algorithms for solving this problem. In the previous working on this project, Self-Organizing Migrating Algorithm had been used. As another, there was chosen Differential Evolution as the suitable artificial intelligence algorithm for solving this problem. Inthis paper there is described an employment of the latter algorithm at estimating the rules for programming the Turing machines. This paper subsequently proves that the evolution can produce valid rules for solving concrete tasks by the

Název v anglickém jazyce

Evolutionary-Estimated Programming the Turing Machine by Differential Evolution

Popis výsledku anglicky

his research deals with employing an artificial intelligence at estimating the rules for programming the Turing machine. The aim of this project is to simplify a programming process, which consists of designing the Turing machine?s transition function. This is realized by using artificial intelligence for performing composition of the rules which map responses of the transition function in dependence on its arguments. Within the research, there were chosen a few of suitable artificial intelligence algorithms for solving this problem. In the previous working on this project, Self-Organizing Migrating Algorithm had been used. As another, there was chosen Differential Evolution as the suitable artificial intelligence algorithm for solving this problem. Inthis paper there is described an employment of the latter algorithm at estimating the rules for programming the Turing machines. This paper subsequently proves that the evolution can produce valid rules for solving concrete tasks by the

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16th International Conference on Soft computing

ISBN

978-80-214-4120-0

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

VUT v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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