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Computer Science > Neural and Evolutionary Computing

arXiv:1304.2467 (cs)
[Submitted on 9 Apr 2013]

Title:Evolutionary Design of Digital Circuits Using Genetic Programming

Authors:S.M. Ashik Eftekhar, Sk. Mahbub Habib, M.M.A. Hashem
View a PDF of the paper titled Evolutionary Design of Digital Circuits Using Genetic Programming, by S.M. Ashik Eftekhar and 1 other authors
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Abstract:For simple digital circuits, conventional method of designing circuits can easily be applied. But for complex digital circuits, the conventional method of designing circuits is not fruitfully applicable because it is time-consuming. On the contrary, Genetic Programming is used mostly for automatic program generation. The modern approach for designing Arithmetic circuits, commonly digital circuits, is based on Graphs. This graph-based evolutionary design of arithmetic circuits is a method of optimized designing of arithmetic circuits. In this paper, a new technique for evolutionary design of digital circuits is proposed using Genetic Programming (GP) with Subtree Mutation in place of Graph-based design. The results obtained using this technique demonstrates the potential capability of genetic programming in digital circuit design with limited computer algorithms. The proposed technique, helps to simplify and speed up the process of designing digital circuits, discovers a variation in the field of digital circuit design where optimized digital circuits can be successfully and effectively designed.
Subjects: Neural and Evolutionary Computing (cs.NE)
Cite as: arXiv:1304.2467 [cs.NE]
  (or arXiv:1304.2467v1 [cs.NE] for this version)
  https://doi.org/10.48550/arXiv.1304.2467
arXiv-issued DOI via DataCite
Journal reference: Procs. of the 3rd International Conference on Electrical, Electronics and Computer Engineering (ICEECE 2003), pp. 231-236, Dhaka, Bangladesh, December 22-24, (2003)

Submission history

From: M.M.A. Hashem [view email]
[v1] Tue, 9 Apr 2013 06:40:59 UTC (604 KB)
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