KFUPM ePrints

Ant Colony Algorithm for Evolutionary Design of Arithmetic Circuits

Abd-El-Barr, Mostafa and Sait, Sadiq M. and Bambang, Sarif (2003) Ant Colony Algorithm for Evolutionary Design of Arithmetic Circuits. In: Proceedings of the 15th International Conference, Cairo, Egypt.

[img]
Preview
PDF
405Kb

Abstract

Absfruct-Evolutionary computation is a niw field of research in which hardware design is pursued by deriving inspiration from biological organisms. This new paradigm is expected to radically change the synthesis procedures in a way that allows discovering ‘novel designs andlor more efficient circuits. In this paper, a multi objective optimization strategy for design of arithmetic circuits based on Ant Colony optimization algorithm is presented. Results are compared with those obtained using other techniques. Index Terms- Logic Design, Evolutionary Computation, Ant Colony Optimization, Multiobjective Optimization, Fuzzy Logic.



Item Type:Conference or Workshop Item (Other)
Date:01 December 2003
Subjects:Computer
Creators:Abd-El-Barr, Mostafa and Sait, Sadiq M. and Bambang, Sarif
Email:UNSPECIFIED, sadiq@kfupm.edu.sa, UNSPECIFIED
ID Code:91
Deposited By:AbdulRahman
Deposited On:25 Feb 2008 08:58
Last Modified:12 Apr 2011 13:06

Repository Staff Only: item control page