Abstract—Modern IC design industry nowadays demands a lot of engineers to produce circuit design with certain specification of outputs. In order to achieve these specifications, the input parameters need to be optimized. Conventional circuit parameter tuning involves trial and error adjustment which required large amount of time to achieve desired specifications. Furthermore, to build up filter circuits that meeting specification requires experience and knowledge about filter characteristic itself. Intense mathematical knowledge in terms of filter performance calculation might be necessary. This paper proposed Genetic Algorithm (GA) based optimization method for optimizing the design variables of the 3rd order multiple feedback low pass filter. The 3rd order multiple feedback low pass filter is synthesized using LTspiceIV whereas the GA model is developed using MATLAB. There are eight design variables to be optimized for achieving the required output gain, pass-band ripple, and targeted cut-off frequency.
Index Terms—Genetic algorithm, optimization, multiple feedback, low pass filter.
The authors are with School of Microelectronic Engineering, Universiti Malaysia Perlis, Perlis, Malaysia (e-mail: eyradagreat90@yahoo.com, scneoh@unimap. edu).
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Cite:A. A. Wan and S. C. Neoh, "Genetic Algorithm-Based Optimization of 3rd Order Multiple Feedback Low Pass Filter," International Journal of Modeling and Optimization vol. 3, no. 6, pp. 475-478, 2013.
