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- W2076556210 abstract "In this paper, genetic algorithm (GA) using parallel tabular technique is presented for the optimization of mixed polarity Reed Muller and mixed polarity dual Reed Muller functions. The algorithm is to find optimal solution among 3 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>n</sup> different solutions for large functions. To overcome the disadvantage of the traditional tabular technique, the cost function of GA is based on parallel tabular technique, in which new terms are generated at one time instead of generating in sequence. Without generating all the polarities, the proposed algorithm is efficient in terms of CPU time and achieves 8% improvement in average." @default.
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- W2076556210 date "2011-03-01" @default.
- W2076556210 modified "2023-09-23" @default.
- W2076556210 title "Optimization of mixed polarity reed-muller functions using genetic algorithm" @default.
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- W2076556210 doi "https://doi.org/10.1109/iccrd.2011.5764198" @default.
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