Butterworth filter design using seeker optimization algorithm

In this work, fourth order Butterworth analog active low pass filter is reported by employing Seeker Optimization Algorithm (SOA). The passive elements i.e. capacitors and resistors values are most important for the design of analog active low pass filter. Evolutionary optimization technique is used to select the values of capacitors and resistors for the design of fourth order Butterworth active low pass filter. In this algorithm, the search direction is based on empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. The circuit component values of the filter are chosen in such a way so that they become compatible with the industrial series E12. The simulation results prove that SOA is superior for the minimization of error existing in the designed circuit with respect to the reported works.