(2003) A Modified Ant Colony Algorithm for Evolutionary Design of Digital Circuits. In: IEEE Congress on Evolutionary Computation, Canberra, Australia.
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Abstract
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 andor more efficient circuits. In this paper, a multiohjective 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: | Conference or Workshop Item (Other) |
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| Subjects: | Computer |
| Department: | College of Computing and Mathematics > Computer Engineering |
| Depositing User: | AbdulRahman |
| Date Deposited: | 25 Feb 2008 06:02 |
| Last Modified: | 01 Nov 2019 13:22 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/92 |