Analysis of Container Communication in Artificial Intelligence

Abstract

With the rapid growth of international container transportation and the development trend of large-scale ships, there are deficiencies in ship utilization and transportation economy. More and more liner companies are actively building and optimizing container shipping network to improve service efficiency and reduce unit operating cost. The optimization model of container shipping network is established. Taking the minimum total cost of container shipping network as the objective, considering the constraints of shipping network, the immune algorithm is applied to solve the model, to determine the optimal container transportation network. Finally, two schemes are designed, and the simulation analysis results can select an optimal scheme, and the effectiveness of the proposed method is verified.