| 2018 International Joint Conference on Materials Science and Mechanical Engineering | |
| Research on airport trailer emergency scheduling model based on genetic simulation annealing algorithm | |
| Zhou, Zhiqiang^1 ; Liu, Shi^1 ; Huang, Kunyuan^1 | |
| College of Computer, Inner Mongolia University, Hohhot, China^1 | |
| 关键词: Airport services; Comprehensive services; Emergency scheduling; Local optimal solution; Optimal results; Rolling window; Service process; Simulation annealing algorithm; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/383/1/012044/pdf DOI : 10.1088/1757-899X/383/1/012044 |
|
| 来源: IOP | |
PDF
|
|
【 摘 要 】
With the increase of air transport business year by year, the airport comprehensive service capabilities are increasingly facing severe challenges. As a key part of airport service, ground scheduling is crucial to the departure of flights on time. by analyzing the traditional rules of airport trailer and combining with the service processes and the characteristics of trailers, the paper develops a multi-target trailer emergency scheduling model with rolling windows. When the model is solved, the simulation annealing algorithm is introduced into the genetic algorithm to prevent the optimal result falling into the local optimal solution. The simulation results show that the model can more effectively solves the problem of airport trailer emergency scheduling in the case of flight delays than the traditional scheme,and to relieve the pressure of flight delay for busy airports.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Research on airport trailer emergency scheduling model based on genetic simulation annealing algorithm | 300KB |
PDF