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Journal of Electrical and Computer Engineering
Volume 2012 (2012), Article ID 503834, 12 pages
Research Article

Efficient Dual Domain Decoding of Linear Block Codes Using Genetic Algorithms

SIME Lab, ENSIAS, Mohammed V-Souissi University, Rabat, Morocco

Received 14 September 2011; Revised 21 December 2011; Accepted 12 January 2012

Academic Editor: Lisimachos P. Kondi

Copyright © 2012 Ahmed Azouaoui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A computationally efficient algorithm for decoding block codes is developed using a genetic algorithm (GA). The proposed algorithm uses the dual code in contrast to the existing genetic decoders in the literature that use the code itself. Hence, this new approach reduces the complexity of decoding the codes of high rates. We simulated our algorithm in various transmission channels. The performance of this algorithm is investigated and compared with competitor decoding algorithms including Maini and Shakeel ones. The results show that the proposed algorithm gives large gains over the Chase-2 decoding algorithm and reach the performance of the OSD-3 for some quadratic residue (QR) codes. Further, we define a new crossover operator that exploits the domain specific information and compare it with uniform and two point crossover. The complexity of this algorithm is also discussed and compared to other algorithms.