Abstract
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.
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Lim, W.J. et al. (2015). Strength Pareto Evolutionary Algorithm 2 in Optimizing Ninth Order Multiple Feedback Chebyshev Low Pass Filter. In: Sulaiman, H., Othman, M., Abd. Aziz, M., Abd Malek, M. (eds) Theory and Applications of Applied Electromagnetics. Lecture Notes in Electrical Engineering, vol 344. Springer, Cham. https://doi.org/10.1007/978-3-319-17269-9_4
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DOI: https://doi.org/10.1007/978-3-319-17269-9_4
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