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Multi objective optimization of a LNA using genetic algorithm based on NSGA-II

机译:基于NSGA-II的遗传算法对LNA的多目标优化

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In this paper an accurate method is presented for determining of the device sizes in a RF circuit based on genetic algorithm (GA). HSPICE RF simulation is used for evaluating of the fitness of the circuit specifications per every iteration of the GA. Also an example for a LNA is presented for evaluating of non-dominated sorting genetic algorithm (NSGA-II) as a method of multi objective genetic algorithm optimization. Simulation results confirm efficiency of the GA for determining of the devices sizes and optimization in a RF circuit.
机译:在本文中,提出了一种基于遗传算法(GA)的确定RF电路中器件尺寸的准确方法。 HSPICE RF仿真用于评估GA每次迭代的电路规格的适用性。还提出了一个LNA示例,用于评估非主导排序遗传算法(NSGA-II),作为多目标遗传算法优化的一种方法。仿真结果证实了GA在确定器件尺寸和优化RF电路中的效率。

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