搜集和利用遗传算法运行过程中的知识,对于改善算法的性能有重要意义。文中采用BP前馈神经网络,动态学习遗传算法运动过程中的有关知识,并利用这些知识指导算法运行。实验结果表明本文方法能够改善算法的在线性能和寓线性能,提高遗传算法的寻优能力。 Collecting and utilizing the knowledge in the operation of genetic algorithm is of great significance for improving the performance of the algorithm. In this paper, BP feedforward neural network is used to dynamically learn the relevant knowledge in the movement of genetic algorithm, and use these knowledge to guide the algorithm to run. The experimental results show that the proposed method can improve the online performance and the performance of the algorithm, and improve the searching ability of the genetic algorithm.