Robust Optimization Model of Air Cargo Capacity Inventory Control

Based on revenue management and analysis of uncertainties of air cargo, a robust optimization model for multi-leg capacity inventory control is proposed. This model expresses uncertain parameters as ellipsoid for solving uncertain problems effectively. To deal with the pre-maturity of canonical genetic algorithm, niche genetic algorithm was adopted. Experimental results show the algorithm is effective. Compared with determinate programming method, the robust optimization method is more in line with the actual situation, and can reflect the relationship between the risk of decision-makers and revenue more effectively.