This article is intended to use the multi-PSO algorithm for scheduling tasks for cost management in cloud computing. This means that any migration costs due to supply failure consider as a one objective and each task is a little particle and recognize by use of the appropriate fitness schedule function (how the particles arrangement) that cost at least amount of total expense. In addition to, the weight is granted to the each expenditure that reflects the importance of cost. The data which is used to simulate proposed method are series of academic and research data that are prepared from the Internet and MATLAB software is used for simulation. We simulate two issues, in the first issue, consider four task by four vehicles and divide tasks. In the second issue, make the issue more complicated and consider six tasks by four vehicles. We write PSO's output for each two issues of various iterations. Finally, the particles dispersion and as well as the output of the cost function were computed for each part.