Title :
The robust optimization method of aircraft fleet scheduling under uncertain operational support time
Author :
Xiong Bi;Qiang Feng;Kunpeng Zhao
Author_Institution :
College of Reliability and System Engineering, Beihang University, Beijing, China
Abstract :
In consideration of the uncertain disturbance caused by human error, the support problem is solved by means of establishing a mathematical programming model. According to the goal, the robust model is established in the paper and genetic algorithm is employed to solve the model. Through the application of the model, the robust optimization scheme is calculated, by which its performance and disturbance can be evaluated. Finally, case analysis demonstrates that the model is practical, which can provide reference for solving similar problem of working time disturbance.
Keywords :
"Aircraft","Robustness","Optimization","Biological cells","Atmospheric modeling","Genetic algorithms","Mathematical model"
Conference_Titel :
Reliability Systems Engineering (ICRSE), 2015 First International Conference on
DOI :
10.1109/ICRSE.2015.7366521