Wang, D., 2019. Dynamic optimization model of container route loading for international logistics ships. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1111–1116. Coconut Creek (Florida), ISSN 0749-0208.

Aiming to improve the ability of automatic scheduling for the dynamic loading of shipping container routes in international logistics environment, an automatic scheduling method based on information fusion of association rules for the dynamic loading of shipping container routes in international logistics environment is proposed. The auto-correlation feature scheduling method is used to mine the operation status of shipping container routes under the international logistics environment, and the reliability data of ship container routes operation under the international logistics environment are extracted. According to the results of ship container route stowage feature extraction, the information fusion and quantitative regression analysis, combined with the international logistics ship container route stowage feature scheduling method, are analyzed in this paper. The dynamic data mining of ship container route loading under the international logistics environment is realized. The characteristic distribution model of the ship container route operation state under the international logistics environment is constructed and combined with the information fusion method of association rules. Under the international logistics environment, the automatic scheduling of ship container route loading dynamic is realized. The simulation results show that the proposed method has higher accuracy and better anti-jamming performance under the international logistics environment, and improves the dynamic allocation ability of the ship container route.