Workspace Measuring and Positioning System (wMPS) is a kind of large-scale system, which depends on the multi-station synergy to achieve the coordinate measuring, so the station layout optimization is a common but important problem. Station optimal topological geometry based on simulated annealing particle swarm algorithm was proposed. Firstly, the positioning accuracy, coverage area and cost were taken as objectives to establish the multi-objective optimization function. Secondly, particle swarm algorithm and simulated annealing algorithm were cooperated to find the best solution, and simulated annealing particle swarm algorithm optimization process was established according to multi-objective function. Finally, simulation analysis for layout optimization algorithm of 2～4 stations was performed. The results show that the proposed method has reliable stability and is able to quickly converge to optimal solutions.