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Strength Pareto Evolutionary Algorithm 2 in Optimizing Ninth Order Multiple Feedback Chebyshev Low Pass Filter

机译:九阶多反馈切比雪夫低通滤波器优化中的强度帕累托进化算法2

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Circuit design optimization has become a common research to reduce the manpower and computational resource required for circuit design industries. Despite the involvement of multiple design objectives, higher order circuit designs are often more complicated and difficult to be optimized using conventional circuit tuning method. This paper proposed Strength Pareto Evolutionary Algorithm 2 (SPEA2) to optimize a ninth order multiple feedback Chebyshev low pass filter. This research aims to search the best trade-off solution that could minimize the passband ripple, maximize the gain and achieve the targeted cutoff frequency. The NGSPICE circuit simulator is interacted with SPEA2 algorithm to perform the circuit optimization. The results obtained show the reliability of the algorithm in achieving the required optimization objectives.
机译:电路设计优化已成为减少电路设计行业所需的人力和计算资源的普遍研究。尽管涉及多个设计目标,但是高阶电路设计通常更复杂并且难以使用常规电路调谐方法来优化。本文提出了强度帕累托进化算法2(SPEA2),以优化九阶多反馈Chebyshev低通滤波器。这项研究旨在寻找最佳的折衷解决方案,该解决方案可以最大程度地减小通带纹波,最大化增益并实现目标截止频率。 NGSPICE电路仿真器与SPEA2算法交互以执行电路优化。获得的结果表明该算法在实现所需优化目标方面的可靠性。

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