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The Bit-Flipping (BF) algorithm is considered as a hard decoding method for LDPC codes. It is much simpler than the probabilistic methods like Sum Product Algorithm (SPA), and can be efficiently implemented by electronic circuits. In this paper, we propose a new Bit Flipping algorithm for Low-Density Parity-Check codes (LDPC) called Single Bit-Flipping (SBF). Compared to the Gallager Bit-Flipping...
The compact Genetic Algorithm decoder has been introduced in [9] as an efficient decoding method of linear block codes. It requires less storage memory than Genetic Algorithms based decoders. One of its major weakness is the big number of necessary iterations to reach convergence in comparison with Genetic Algorithms (GA) based decoders. We propose, in this work, new ideas allowing us to reduce the...
In this paper, we use the physical aspect of the simulated annealing method in order to propose a modified simulated annealing algorithm. The main idea of the algorithm is based to find the optimal solution of a combinatorial optimization problem by switching between two different subsystems of treatment; using so called degeneration of atoms energy. This new algorithm is named Degeneration Simulated...
The standard compact Genetic Algorithm uses competition between two individuals for which we calculate the objective function and the winner will be the one who gives the best value of this function. This work presents a new approach of compact Genetic Algorithm that uses more than just two vectors of competition; it introduces tournament selection with larger size using mutation. We apply this algorithm...
Selection pressure controls the selection of individuals from one population to the next. It gives individuals of higher quality, higher probability of being used to create the next generation, and so for the algorithm to focus on promising regions in the search space. This paper introduces higher selection pressure to soft-decision decoding based on compact Genetic Algorithms(cGAD), and shows the...
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