The Satellite Optimization Design Using Normal Cloud Model Method

Satellite design is a complex and systematic project. In the design process, due to the complexity of the relations among different disciplinary and the coupling of design variables, the efficiency of the optimization design is not efficiently. Recently cloud computing has been widely used in intelligent control, data mining, optimization computation and the other fields. The normal cloud model based on the normal distribution is an important cloud model for cloud computing and has been a wide range of adaptability. In this paper, the normal cloud model is in combination with evolutionary algorithm. With the idea of evolutionary algorithm, the velocity and direction of optimized search can be controlled by the cloud droplets generated by the normal cloud model. Numerical results indicate the high quality of the algorithm on precision stability and convergence rate and improve the efficiency of the satellite optimization design.