Abstract:A novel multidimensional fitness function genetic algorithm is proposed to optimize test vectors of R-2R Digital-to-Analog Converters (DAC). The proposed method employs distribution of characteristic vectors and the number of test vectors to formulate a multidimensional fitness function to search a non-dominate (ND) solution set. The searching process is directed by a ND sort method. Each individual in the ND set does not contain redundant test vectors. The test vectors are taken as the input excitation of the… Show more
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