导弹电磁发射技术是一种新型的发射技术。发射过程中会产生强的电磁场环境,不仅严重干扰导弹内电子元器件的正常运作,还会破坏外部的电磁场环境,影响其他设备。因此,采取一定的屏蔽措施十分重要。文中将多种群遗传算法(MPGA)和多层材料屏蔽体设计结合起来进行仿真。结果发现较标准遗传算法,基于多种群遗传算法的屏蔽设计得到的屏蔽效能更高,优化结果更为稳定,将会更好地应用于导弹电磁发射过程。

Missile electromagnetic launching technology is a new type of launching technology. During the launching of the missile, a strong electromagnetic environment was produced, which would not only seriously interfere with the normal operation of electronic components in the missile, but also destroy the external electromagnetic environment and affect the other equipment. Therefore, taking certain electromagnetic shielding measures was very important for the launching process. In this paper, the multi population genetic algorithm (MPGA) was combined with the design of multi layers material shielding to make simulation. The results showed that, compared with standard genetic algorithm, the shielding effectiveness of the shield design based on multi population genetic algorithm was higher, and the optimization results were more stable and efficient. So the multi population genetic algorithm will achieve better shielding effectiveness in the missile electromagnetic launching process.