Implementation Method of Circuit Evolution Based on Artificial Neural Network Model
Cui Xinfeng, Jianan Lou, Jie Chu, Yuan Liang, Guoliang Ding · Jisuanji gongcheng · 2011
For the purpose of solving the encoding problem harassed the digital Evolvable Hardware(EHW) researchers,a gate-level circuit model which is based on the similarities between combinatorial circuit and neural network is proposed,on which the matrix encoding scheme of combinatorial circuit is discussed.An improved genetic algorithm is used to evolve the encoding matrix,genetic operators and fitness evaluation method are designed according to the characteristics of circuit encoding.The implementation of the commutation circuit of brushless direct current motor proves the feasibility of the implementation method of digital EHW by the using of matrix encoding scheme and the improved genetic algorithm.