Multi-objective optimization of container terminal scheduling considering shared operation of adjacent quay crane under quay crane failure

Aiming at the practical problem of container terminal scheduling caused by quay crane failure, the method of quay crane sharing operation between adjacent ships was adopted, and a multi-objective optimization model was established to minimize both the working time of ships and the cost of port operation. Hybrid multi-point crossover and hybrid single-point mutation were used to improve the fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), and the neighborhood search of quay crane sharing strategy was integrated. To find a scheduling scheme that satisfied the preference of decision-makers, the bias quantization method of Pareto non-inferior solution relative to the optimization objectives was adopted by using the distribution information of Pareto front considering the interests of shipping companies and ports, and the final scheme of decision-maker's preference was obtained. A container terminal in China was taken as an example, and the feasibility of the model and algorithm was verified. Comparing with other algorithms, the improved NSGA-II algorithm was more effective. The research results of this paper could provide decision-making ideas for improving the level of port management. © 2023 CIMS. All rights reserved.