The Particle Swarm Optimization (PSO) is an evolutionary computation, which not only can search solutions randomly and fully, but also is convenient to be carried out. Hence, the article focuses on the application of PSO to the multiple-objective coordination optimization of project, looking forward to seeking best solutions easily and quickly. After introducing the basic theory of the algorithms and its several versions, the article aims at the efficiency coefficient of quality, cost, time and resource subsystem, and set up a multiple optimization coordination model. In the following part, the article introduces how to apply PSO to solve the project coordination optimization problem in detail. The numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization problem of project exactly and quickly.