Genetic Algorithm-Based Optimization in 4th Order Sallen Key High Pass Filter

Cheng Khye Lun and Neoh Siew Chin
Universiti Malaysia Perlis (UniMAP)


Circuit designers often face difficulties and challenges to deal with the complex trade-offs of Analog IC design. Considering such complex trade-offs, optimization of circuit design often requires large amount of time and effort. This paper proposed a Genetic Algorithm (GA)-based optimization model for optimizing the design variables of a 4th order Sallen Key high pass filter. The aims of the design are to maximize the output gain, minimize the pass-band ripple, and achieve the targeted cut-off frequency. The GA is executed in conjunction with the LTSPICE circuit simulation system to assess the filter performance. Overall results satisfied the required design specifications.