IJERT-EMS
IJERT-EMS

Genetic Algorithms In VLSI Floorplanning


Genetic Algorithms In VLSI Floorplanning
Authors : Chinmay Gore, Fiona Britto, Mandar Raje
Publication Date: 29-10-2012

Authors

Author(s):  Chinmay Gore, Fiona Britto, Mandar Raje

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 8 (October - 2012)

e-ISSN:   2278-0181

Abstract

Genetic Algorithms are search oriented empirical techniques, which are derived from the Theory of Natural Evolution by Charles Darwin. With the help of genetic operators like inheritance, mutation, selection and crossover, these algorithms are capable of solving optimization problems. Genetic Algorithms are a subset of Evolutionary Algorithms that are being extensively applied in Very Large Scale Integrated Circuit (VLSI) design. Research endeavours in this domain are being pursued worldwide. In this article, we present an overview of various Genetic Algorithms that are used in the optimization of the very first stage of the VLSI physical design process - floorplanning.

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