Synthetic optimization in project schedule by using ant colony algorithm

From the view that the maximum economic benefits can be obtained by optimizing the project schedule, this paper uses systemic method and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the latent uncertainties, all factors influencing the overall project schedule. Then by changing the election strategy and the local search strategy, the ant colony algorithm is improved and is applied in the process of optimizing the model. Finally, an example is used to prove the improved ant colony algorithm is of high effectiveness in solving the synthetic optimization of project schedule.