A modified ant colony algorithm for evolutionary design of digital circuits

(2003) A modified ant colony algorithm for evolutionary design of digital circuits. Evolutionary Computation, 2003. CEC '03. The 2003 Congress on, 1.

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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
Subjects: Computer
Divisions: College Of Computer Sciences and Engineering > Computer Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:34
Last Modified: 01 Nov 2019 17:05
URI: http://eprints.kfupm.edu.sa/id/eprint/14397