(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) |
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| Subjects: | Computer |
| Department: | College of Computing and Mathematics > Computer Engineering |
| Depositing User: | AbdulRahman |
| Date Deposited: | 24 Feb 2008 13:36 |
| Last Modified: | 01 Nov 2019 13:22 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/86 |