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Decimal-coding chaos genetic algorithm for the envelope-based nonlinear microwave circuit simulation

机译:十进制编码混沌遗传算法在基于包络的非线性微波电路仿真中的应用

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摘要

The circuit envelope (CE) simulation technique is reviewed for the first time in this article. The concomitant models of linear devices applied in the CE simulation are discussed. Then, a method to obtain the responses of the nonlinear circuits excited by multicarrier modulated signals is developed. A novel decimal-coding chaos genetic algorithm (DCGA) combined with the suitable crossover and mutation operations is firstly presented for solving the nonlinear equations encountered in the CE simulation. The chaos process is applied to find further ascendant solutions in the current genus space in order to update the current colony and avoid premature states in the whole evolution progress. Finally, some examples are studied to verify the validity of the DCGA. (c) 2006 Wiley Periodicals, Inc.
机译:本文首次回顾了电路包络(CE)仿真技术。讨论了在CE仿真中应用的线性设备的伴随模型。然后,开发了一种获得由多载波调制信号激励的非线性电路的响应的方法。首先提出了一种新颖的十进制编码混沌遗传算法(DCGA),并结合了适当的交叉和变异运算,以求解CE仿真中遇到的非线性方程。应用混沌过程在当前属空间中寻找进一步的上升解,以更新当前菌落并在整个进化过程中避免过早的状态。最后,通过一些实例验证了DCGA的有效性。 (c)2006年Wiley Periodicals,Inc.

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