OPTIMIZATION OF CONTAINER PORT LOGISTICS OPERATION EFFICIENCY BASED ON RESOURCE SCHEDULING

Abstract

Container port is an important transit station in container multimodal logistics, and its efficiency of cargo handling will directly affect the efficiency of the whole logistics. This paper briefly introduces the container port and the berth-shore bridge allocation model of the container port and proposes to use a genetic algorithm for the allocation model to perform the optimization calculation. The adaptive cross-variance probability was used to improve the traditional genetic algorithm to enhance the optimization capability of the algorithm. An example analysis was carried out with three wharves in Beibu Gulf port, Guangxi. The improved algorithm was also compared with the particle swarm optimization (PSO) algorithm. The results showed that the improved genetic algorithm converged fastest and had a lower adaptive value after stabilization when the allocation model was optimized; the increase in the number of vessels to be served at the wharves increased the optimization time of the algorithm and the total loading and unloading time of the optimized allocation scheme; the improved genetic algorithm was faster in the optimization process of the allocation model, and the obtained allocation scheme had less total loading and unloading time.