基于遗传退火算法的电路模拟吸波材料设计

相比传统吸波材料,电路模拟吸波材料可以很好地减小材料厚度、提高吸波性能,其设计通常使用遗传算法进行优化。针对传统遗传算法的诸多不足,对交叉和变异概率进行了改进、引入了模拟退火思想作为子代接受准则并增加了算法终止准则。其中,对交叉和变异概率的改进是最大创新点。改进后的遗传算法只需进化100代即得到最优解,平均反射率为-15.0420,厚度为1.43 mm,均优于传统算法得出的结果。结果表明,改进后的遗传算法具有收敛速率快、不易陷入局部最优解等优点。

Design of Circuit Analogy Absorbing Materials Based onSimulated Annealing Genetic Algorithm

Compared to traditional radar absorbing materials,circuit analogy absorbing materials can be better to reduce the material thickness,to improve absorbing properties,often the genetic algorithm is used to optimize the results.For the disadvantages of the conventional genetic algorithm,crossover probability and mutation probability is improved,and the idea of "Simulated Annealing Algorithm" is introduced as the acceptance criteria of the offspring.The improved genetic algorithm only needs to evolve 100 generations to obtain the optimal solution,and the average reflectance is-15.0420 and the thickness of the material is only 1.425 mm,which are better than the result of conventional algorithms.The results show that the improved genetic algorithm makes the convergence faster,and easy to avoid falling into local optimal solution.