Research on Optimization Application of Integer Planning Algorithm in Logistics Economic Network Layout Management

Abstract

For the various types of costs involved in the logistics economic network, quantitative and qualitative cost models are developed as one of the final solution objectives. In order to improve the distribution rate, it is proposed to use the distribution time satisfaction function and the site selection optimization objective function to achieve the estimation of the positioning range of site selection. The integer planning algorithm using genetic algorithm + branch definition method is used to find the optimal solution of logistics economic network layout branch by branch. The integer planning algorithm iterates about 30 times to obtain the smooth optimal fitness value. The algorithm solves the optimized distribution centers are reduced from 8 to 7, while the distribution routes of each demand point are reasonably adjusted.