Research on Antenna Cabin Structure Optimization Based on Response Surface and Multi-island Genetic Algorithm

摘要

This paper focuses on the characteristics of high efficiency and high accuracy in the optimization design of the antenna bay structure. The polynomial response surface model is used to replace the computationally intensive target characteristic analysis model in the original genetic algorithm and a multi-island genetic algorithm is combined with the sequential quadratic programming. In this method, the square steel structure of the antenna module is optimized, which not only ensures the search for the global optimal solution, but also improves the calculation efficiency. The optimized results meet the rigid strength requirements of the antenna module under working wind load, and the weight of the antenna module is reduced by 33.5%, which greatly saves costs.