WVDF optimization based on genetic algorithm

It has been proved that optimization of WVDF filter´s coefficients using mathematical approaches can´t converge to globally optimal coefficient weight vector. In this paper, genetic algorithm, which was proved that it was the most powerful unbiased optimization techniques for sampling a large solution space, is used to optimize WVDF filter´s coefficients. By using the Stochastic Selection of parents and the generation of optimal offspring, the optimal WVDF filter is obtained. The experiment result shows the validity of this optimization.