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Reseach Article

Genetic Algorithms based Partitioning of VLSI Circuit Systems

Published on May 2012 by Nikhil Gupta, Deepak Garg, Soniya Gupta
National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
Foundation of Computer Science USA
NCFAAIIA - Number 2
May 2012
Authors: Nikhil Gupta, Deepak Garg, Soniya Gupta
7ab41b78-2c8f-4d27-8daf-05a5ad5ca431

Nikhil Gupta, Deepak Garg, Soniya Gupta . Genetic Algorithms based Partitioning of VLSI Circuit Systems. National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012. NCFAAIIA, 2 (May 2012), 15-19.

@article{
author = { Nikhil Gupta, Deepak Garg, Soniya Gupta },
title = { Genetic Algorithms based Partitioning of VLSI Circuit Systems },
journal = { National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012 },
issue_date = { May 2012 },
volume = { NCFAAIIA },
number = { 2 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 15-19 },
numpages = 5,
url = { /proceedings/ncfaaiia/number2/6734-1013/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%A Nikhil Gupta
%A Deepak Garg
%A Soniya Gupta
%T Genetic Algorithms based Partitioning of VLSI Circuit Systems
%J National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%@ 0975-8887
%V NCFAAIIA
%N 2
%P 15-19
%D 2012
%I International Journal of Computer Applications
Abstract

Circuit partitioning problem is a well known NP hard problem. The potential of Genetic Algorithm has been used to solve many computationally intensive problems (NP hard problems) because existing conventional methods are unable to perform the required breakthrough in terms of complexity, time and cost. The presented work deals with the problem of partitioning of a circuit using Genetic Algorithm. The program inputs the adjacency matrix, generates graph of the circuit and partitions the circuit based on crossover operator. The program produces a set of vertices that are highly connected to each other but highly disconnected from the other partitions

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Circuit Partitioning Chromosomes Crossover Mutation