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Research on Cargo Loading Strategy of Container Ship Based on Bacterial Foraging Algorithm

Under the background of frequent international exchanges and the rapid development of international logistics, the cost optimization of international marine transportation as the main mode of transportation of goods has become more and more important. Under the premise of ensuring the safety and stability, the transformable container ship can improve the space utilization of cargo ships with maximum efficiency, thereby reducing the number of rounds or increasing the revenue to optimize the cost. The research method of this paper uses the differentiation of large and small cargoes based on the rules of determining the order, positioning and three space segmentation. Priority is given to loading small cargoes into containers, and then loading large cargoes and containers into the cargo hold. Finally, the remaining cargo is loaded onto the deck to maximize space utilization. Using genetic coding expressed in loading order, the way of loading cargo is coded to obtain the solution of the fitness function, and then an adaptive step size bacterial foraging algorithm is used to derive an optimal solution. Optimizing cargo ship loading strategy by designing model algorithms is of certain practical significance for the development of transnational logistics transportation activities.