自适应遗传算法在电路优化中的应用

针对一种脉冲电压发生器存在同一档中输出的脉冲电压会随着脉冲频率的升高而急剧减小，导致密波脉冲下不能得到足够电压的问题，对原电路进行改进，并采用一种改进的自适应遗传算法对电路参数进行优化设置。通过实验比较发现，不同频率下的输出电压幅值在单片机的控制下基本达到了期望值，大大改善了脉冲电压发生器的性能，保证了输出效果。

Application of Improved Adaptive Genetic Algorithms to Circuit Optimum

An improvement was brought forward in order to eliminate the defect existed in an impulse generator. Before the improvement, the output voltage fell sharply while the frequency of the impulse rose. This phenomenon is a disadvantage to the curative effect. Out of that, the circuit of the device was improved, and an improved adaptive genetic algorithms was used to optimize the circuit parameters. Through the experiment, it's satisfied that the voltage range of output, under the control of singlechip, was closed to the value of expectation, while the impulses with different frequency were output. The performance of the device was improved to a large degree.