The satellite optimization design using collaborative optimization method based on normal cloud model

Collaborative optimization is a good method for solving multidisciplinary optimization design of the complex system. Satellite design is a complex and systematic project, the efficiency of the traditional optimization design methods are 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 collaborative optimization. With the structure of the collaborative optimization, 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.