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Volume 19 (2022)
Volume 19, (In Progress)
Pg 1 - 11 (June 2022)
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Advances in Computer Science and Engineering
Advances in Computer Science and Engineering
Volume 3, Issue 2, Pages 111 - 125 (July 2009)
DESIGNING BINARY LINEAR BLOCK CODES WITH SPECIFIED MINIMUM WEIGHT USING SIMULATED ANNEALING
Wasan S. Awad (Bahrain)
Abstract:
Controlling errors in the communication system can be performed by means of the application of special codes that add redundancy. These codes can detect and/or correct errors occurred during the data transmission. In this work, we focus on a class of error correcting codes which is binary linear block codes. The problem of finding an error correcting code that corrects a maximum number of errors with as few as possible number of redundant bits is NP-complete problem. For this reason, genetic algorithm and simulated annealing have been chosen in this work to solve the problem of designing error correcting codes. In this paper, two algorithms will be presented for finding the generator matrix of a linear block code with specified error detection/correction capability. The implementation and results of applying these algorithms will be also presented.
Keywords and phrases:
simulated annealing, genetic algorithm, linear block codes, minimum weight.
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P-ISSN: 0973-6999
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