Paper Title
Optimal Selection of Components in a Sixth-Order Butterworth Low-Pass Filter with using Grey Wolf Algorithm
Abstract
Selection of the appropriate components is the most crucial step in active filter design. A number of possible
combinations can affect the working mechanism of the circuit as a good direction or bad direction. Therefore there are many
searching algorithms. These algorithms vary from each other by the feature of requiring a fast and optimal selection of
component values. In this study Grey Wolf Colony Search Algorithm (GWA) is used for utilizing the performance of the
circuit. GWA imitates the intelligent predatory manner of the wolf colony to solve optimization problem. To evaluate the
performance of the algorithm a sixth-order Butterworth Low-Pass filter is used. It is shown that GWA finds the optimal
component values with the minimum cost function when compared with the reference filter's values.
Index Terms—Analog Filter, Low Pass Filter, Optimization, Grey Wolf Colony Algorithm