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中文摘要：
阻抗匹配问题在射频技术中有着极其重要的意义，良好的阻抗匹配不仅有利于电路的低压低耗实现，而且较小的反射系数为系统的可靠运行提供了保证。针对遗传算法在自动阻抗匹配过程中收敛速度慢且易陷入早熟（即陷入局部最优），提出利用分层机制来预防早熟，并对遗传算法中的交叉操作算子进行了改进来加快收敛。通过MATLAB对上述算法进行实现，并采用不同频率及不同负载阻抗对上述算法及遗传算法进行测试从而进行比较。结果表明分层遗传算法很好地预防了早熟，收敛速度比原算法得到较大的提升。
英文摘要：
Matching impedance is very important to design RF antenna circuits. Optimized impedance is beneficial to realize low voltage and low power antenna circuits, and lower reflection coefficient will ensure that the antenna system can be running smoothly and reliably too. To avoid slow and premature convergence, it proposes a layered process technique and performs refor- mation including improving crossover operation. It runs the program on the MATLAB simulation platform with different loads at different frequencies and analyzes results in different conditions. These results indicate that the reformative GA can escape from premature convergence and it gets solutions whose errors are lower than predefined errors more speedy than the conven- tional GA.
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