Fuzzified Ant Colony Optimization Algorithm for Efficient Combinational Circuits Synthesis

(2004) Fuzzified Ant Colony Optimization Algorithm for Efficient Combinational Circuits Synthesis. In: IEEE Congress on Evolutionary Computation (CEC),, Portland Oregon, USA.

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Abstract

Abstract- With the increasing demand for high quality, more efficient, less areaand less power circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, multiobjective optimization of logic circuits based on a fnzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power for some known circuits. It is shown that the circuits produced by the proposed algorithm are better as compared to those obtained by SIS.

Item Type: Conference or Workshop Item (Other)
Subjects: Computer
Divisions: College Of Computer Sciences and Engineering > Computer Engineering Dept
Depositing User: AbdulRahman
Date Deposited: 24 Feb 2008 16:36
Last Modified: 01 Nov 2019 16:22
URI: http://eprints.kfupm.edu.sa/id/eprint/86