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

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.