基于遗传算法的吸波材料P波段电磁参数的计算与优化OA北大核心CSTPCD

In view of the difficulty of accurate measurement of P-band electromagnetic parameters of wave-absorbing materials,this study was based on the relationship between electromagnetic parameters and reflectance in the theoretical model of reflectance calculation of wave-absorbing materials,and used genetic algorithm to continuously adjust the electromagnetic parameters of magnetic materials until the calculated values of magnetic reflectance were consistent with the measured values.The effects of population size,mutation probability,and iteration number on electromagnetic parameter solving in genetic algorithms were explored.It was found that setting upper and lower limits of(0,100)for unknown solutions,population size of 1000-2000,iteration number of 100,and mutation probability of 0.1 can balance the solution speed and accuracy.The difference between the measured and calculated reflectivity values of four different thicknesses of magnetic materials was summed up,and exponential processing was performed to get the objective function.Referring to the electromagnetic performance of the front and rear frequency points,the electromagnetic parameters with the smallest error and relatively stable set of solutions could be obtained.Finally,a new sample including magnetic film and graphene was made for experimental verification.The results show that the error between the calculated value of reflectivity and the measured value decreases from 58.8％ to 7.5％,which can verify the feasibility and effectiveness of the optimization method of electromagnetic parameter.