Cuckoo Search Optimization based design of linear phase FIR filters: A comparison approach

Optimization algorithms has been used to solve many design problems in science and engineering; notable in image processing, construction design, path planning and many other application. In this paper the method of designing a linear phase symmetric FIR (Finite Impulse Response) filter with the help of Cuckoo Search Optimization (CSO) Algorithm has been highlighted. Since evolutionary optimization algorithms are more powerful than its linear counterpart, CSO has been deployed in order to find out the coefficients of the required filter for a given problem requirement. Even order linear phase symmetric FIR filter are best suitable for this kind of design procedure. The best nests selected by the CSO denotes the particular coefficient set for a given particular even order filter. A low pass filter is shown as a design example. Comparisonal analysis with respect to other strong evolutionary algorithm is also presented in this paper.