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COMBINATIONAL LOGIC CIRCUITS DESIGN THROUGH ANT COLONY OPTIMIZATION ALGORITHM
 

Summary: COMBINATIONAL LOGIC CIRCUITS DESIGN THROUGH ANT COLONY
OPTIMIZATION ALGORITHM
Mostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman Al-Saiari
Computer Engineering Department
KFUPM, Dhahran-31261
fmostafa, sadiq, sarif, saiariosg@ccse.kfupm.edu.sa
ABSTRACT
With the increasing demand for high quality, more efficient
and less area circuits, the problem of circuit design has be-
come a multi-objective optimization problem. Therefore,
there should evolve new methodologies for designing logic
circuits. 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 re-
sults obtained using the proposed algorithm are compared to
those obtained using SIS in terms of area, delay and power.
1. INTRODUCTION
In conventional logic design, circuit designers begin with a

  

Source: Al-Saiari, Uthman - Computer Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Computer Technologies and Information Sciences