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Automatic design of low power CMOS buffer-chain circuit using differential evolutionary algorithm and particle swarm optimization

机译:基于差分进化算法和粒子群算法的低功耗CMOS缓冲链电路自动设计

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PSO and DE algorithms and its variants are used for the optimization of a buffer-chain circuit and the results of all the algorithms are compared in this literature. By testing these algorithms on different mathematical benchmark functions the best parameter values of buffer chain circuit are obtained in such a way that it reduces the error between simulated output and optimized output, hence giving the best circuit performance. Evolutionary algorithms are better in performance and speed than the classical methods. 130nm CMOS technology has been used in this work. With the help of these parameter values the circuit simulator gives the values of power consumption, symmetry, rise time and fall time, which are almost closer to the desired specification of the buffer chain circuit.
机译:PSO和DE算法及其变体用于优化缓冲链电路,并在本文中比较了所有算法的结果。通过在不同的数学基准函数上测试这些算法,可以获得缓冲链电路的最佳参数值,从而减小了模拟输出与优化输出之间的误差,从而提供了最佳的电路性能。进化算法在性能和速度上都优于经典方法。 130nm CMOS技术已用于这项工作。借助这些参数值,电路模拟器可以给出功耗,对称性,上升时间和下降时间的值,这些值几乎更接近于缓冲链电路的期望规格。

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