Abstract:

For solving time cost optimization problems of aircraft fleet support mission, the aircraft fleet support mission is modeled by using program evaluation and review technique (PERT) network, where activities are subjected to discrete function and assumed to be exponentially distributed. Then, an integer mathematical model is established to optimally improve the project completion probability in a prespecified due date on a predefined probability, and the developed ant colony optimization (ACO) metaheuristic and Monte Carlo simulation technique are used to solve it. Different parameter settings and a large scale of experimental data are used to verify the model. The results show that the calculation and time outcomes of the model are good and reasonable, and the model can improve the completion probability of support mission in due time.