Vývojová metoda pro konstruckci libovolně velkých řadicích sítí a sčítaček

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F05%3APU55715" target="_blank" >RIV/00216305:26230/05:PU55715 - 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

A Developmental Method for Construction of Arbitrarily Large Sorting Networks and Adders

Popis výsledku v původním jazyce

The paper deals with a non-traditional design method inspired by natural <br> ontogenesis (an embryonic approach) for construction of combinational logic <br> circuits (in particular sorting networks and adders). The general principle of the technique isbased on a set of proper<br> instructions known beforehand that are repeatedly applied on the embryo <br> (a trivial instance of a problem) to construct more complex system. Genetic algorithm is used to find a suitable <br> sequence of instructions -- aa prescription for the growth of the embryo. The system complexity can increase continually and infinitely. It is shown that <br> by employing of this approach the genetic algorithm is able to (1) rediscover the <br> principle of already known method and(2) find a novel algorithm, by means of <br> which we can obtain better solutions in comparison with a conventional method.

Název v anglickém jazyce

A Developmental Method for Construction of Arbitrarily Large Sorting Networks and Adders

Popis výsledku anglicky

The paper deals with a non-traditional design method inspired by natural <br> ontogenesis (an embryonic approach) for construction of combinational logic <br> circuits (in particular sorting networks and adders). The general principle of the technique isbased on a set of proper<br> instructions known beforehand that are repeatedly applied on the embryo <br> (a trivial instance of a problem) to construct more complex system. Genetic algorithm is used to find a suitable <br> sequence of instructions -- aa prescription for the growth of the embryo. The system complexity can increase continually and infinitely. It is shown that <br> by employing of this approach the genetic algorithm is able to (1) rediscover the <br> principle of already known method and(2) find a novel algorithm, by means of <br> which we can obtain better solutions in comparison with a conventional method.

Druh

A - Audiovizuální tvorba

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F04%2F0737" target="_blank" >GA102/04/0737: Moderní metody syntézy číslicových systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

ISBN

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Místo vydání

Brno

Název nakladatele resp. objednatele

Faculty of Information Technology BUT

Verze

NEUVEDEN

Identifikační číslo nosiče

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