Design of webgis transportation and distribution system based on the genetic algorithm

Abstract

With the concept of "smart logistics" put forward, the transformation of the logistics industry facing information technology is facing great challenges. At present, China's logistics industry is facing problems such as extensive resource allocation, low management level and high cost. Aiming at the transportation problem in logistics industry, this paper designs a solution method of balanced/unbalanced transportation problem based on the Monte Carlo similarity and genetic algorithm. Two coding methods, Prufer number and matrix are adopted. On this basis, dynamic mutation rate and random mutation strategy are designed, and Monte Carlo similarity receiving method is introduced. Finally, from the perspective of system requirements, the WebGIS transportation and distribution system based on genetic algorithm is designed and developed.