Equilibrium optimization modeling of ground support process for transit flight
1. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China; 2. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China; 3. School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
Abstract： To solve the imbalance problem of resource allocation of each link in the ground support process of transit flights, a support process equilibrium optimization model was proposed based on the systematic analysis of link business characteristics and equilibrium influencing elements. The link start time and resource usage were considered to constrain the priority and operation mode for good applicability. Based on the optimization objectives of minimizing the effective deviation, total operation time and comprehensive resource consumption of the links, a model objective function was established to measure the resource balance of each link in the support process. By NSGA-II algorithm with improved chaos and differential evolution, the optimization scheme of the constructed model was solved and designed with the actual operation data of a hub airport in central China. To verify the effectiveness of the model, the optimization scheme was evaluated based on the equilibrium evaluation index. The results show that the equilibrium optimization model is effective in terms of time utilization and resource allocation, and the total operating time is reduced by 10.6% with saving 30.3% of the total amount of idle resources. The evaluation shows that the equilibrium rate is increased by 10.7%, and the time loss coefficient and the resource smoothing coefficient are reduced by 65.7% and 54.7%, respectively.
邢志伟， 王思博， 李彪， 廉冠. 面向过站航班地面保障过程的均衡优化建模[J]. 江苏大学学报（自然科学版）, 2022, 43(2): 209-217.
XING Zhiwei, WANG Sibo, LI Biao, LIAN Guan. Equilibrium optimization modeling of ground support process for transit flight [J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2022, 43(2): 209-217.
