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contributor authorعلی پیرویen
contributor authorAli Peiravifa
date accessioned2020-06-06T13:37:35Z
date available2020-06-06T13:37:35Z
date issued2008
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3362516?show=full
description abstract: In this paper, a software technique for the design of combinational digital circuits with minimum silicon surface allocation and gate propagation delay using genetic algorithm is presented. In existing methods which use the initial chromosome for the gate and then find the optimum solution using a library of gates, there is a possibility of missing some possible combinations of primary circuits with which the desired function may be realized. Thus the outcome may be a local optimum, not the global one. In our approach to this problem, all the possible states of a circuit are first analyzed. The program will automatically define the initial chromosome and proceed to find the optimum circuit for the desired function. The program has been coded in C++ and it includes a library of the various gates with their respective size on the silicon wafer and propagation delay.en
languageEnglish
titleA Genetic Approach to the Synthesis of Combinational Circuits with Optimum Area and Speeden
typeJournal Paper
contenttypeExternal Fulltext
subject keywordscombinational circuiten
subject keywordsgenetic algorithmsen
subject keywordsoptimal designen
subject keywordssilicon die areaen
subject keywordsdelayen
journal titleJournal of applied sciencesen
journal titleJournal of Applied Sciencesfa
pages4570-4578
journal volume8
journal issue24
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1006475.html
identifier articleid1006475


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