Station Deployment of Workspace Measuring and Positioning System Based on Multi-Objective Genetic Algorithm

Workspace measuring and positioning system (wMPS) is a kind of large-scale and multi-station intersection system, of which the station layout optimization is a common but important problem. Station optimal topological geometry based on genetic algorithm was proposed in this paper. Firstly, the positioning error, coverage area and cost were taken as objectives to establish the multi-objective optimization function. Secondly, genetic algorithm optimization process was established according to multi-objective function. Thirdly, simulation analysis for layout optimization algorithm of 2-4 stations was performed. The results show that the proposed method is able to quickly converge to optimal solutions, have good adaptability and improve wMPS measuring performance as well.