Location method of logistics distribution center based on BP neural network optimized by improved bat algorithm

In order to solve the practical problems of unreasonable results and long time-consuming existing in traditional logistics distribution center location method, this paper introduces improved bat algorithm to optimize BP neural network, and designs a new logistics distribution center location method. This paper analyzes the basic principles of BP neural network and bat algorithm, introduces one-dimensional nonlinear chaotic sequence into bat algorithm, uses the improved algorithm to optimize BP neural network, and uses the optimized network to obtain the location results of logistics distribution center. The experimental results show that the method has good location effect, good convergence performance and low time-consuming.