KFUPM ePrints

A modified ant colony algorithm for evolutionary design of digital circuits

Sait, Sadiq M. and Sarif, B.A.B. and Abd-El-Barr, Mostafa (2003) A modified ant colony algorithm for evolutionary design of digital circuits. Evolutionary Computation, 2003. CEC '03. The 2003 Congress on, 1.

[img]
Preview
PDF
18Kb
[img]Microsoft Word
26Kb

Abstract

Evolutionary computation presents a new paradigm shift in hardware design and synthesis. According to this paradigm, hardware design is pursued by deriving inspiration from biological organisms. The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. The performance of the proposed algorithm is evaluated using a set of randomly generated circuits. The results obtained using the proposed algorithm are compared to those obtained using existing ACO-based techniques. It is shown that the designed circuits using the proposed algorithm outperform those of the existing techniques.



Item Type:Article
Date:December 2003
Date Type:Publication
Subjects:Computer
Divisions:College Of Computer Sciences and Engineering > Computer Engineering Dept
Creators:Sait, Sadiq M. and Sarif, B.A.B. and Abd-El-Barr, Mostafa
Email:sadiq@kfupm.edu.sa, UNSPECIFIED, UNSPECIFIED
ID Code:14397
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:34
Last Modified:12 Apr 2011 13:14

Repository Staff Only: item control page