Application of Adaptive Genetic Algorithm for Multimodal Transportation Logistics Distribution Routing Problem

With the rapid development of e-commerce and logistics, the network of transportation of logistics with different transportation mode gradually become more and more complicate in the world. The multimodal transportation logistics distribution routing problem is regarded as a kind complicate vehicle routing problem. Thus, an appropriate selecting of routing has an extensive influence role to improve the economic interests and appropriateness of logistics planning. In order to acquire the reasonable route of distribution, in this paper, an improved genetic algorithm is presented by introducing adaptive crossover probability and mutation probability for enhancing the global search performance. This improved genetic algorithm is employed to solve the multimodal transportation logistics distribution routing problem. The final simulation results confirm the effectiveness of the proposed method.