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- W2219310132 abstract "The proposed approach in this paper reduced power consumption, delay, and area in single-error correcting, double error-detecting checker circuits that perform memory error correction. The multi-objective genetic algorithm is employed to solve the non-linear power, delay and area optimization problem. The method is applied to odd-column weight Hsiao code. The proposed method allows that user can choose one of different non-dominated solutions depending on which consideration is important among them. Because we use multi-objective genetic algorithm, we can find various dominated solutions. Therefore, we can choose the ECC according to the important factor of the power, delay and area. Experiments were performed to show the performance of the proposed method." @default.
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- W2219310132 date "2007-09-01" @default.
- W2219310132 modified "2023-09-28" @default.
- W2219310132 title "Multi-objective Genetic Design for Error Correcting Code" @default.
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