Optimal digital stable IIR band stop filter optimization using craziness based particle swarm optimization technique

In this paper a global heuristic search evolutionary optimization technique called craziness based particle swarm optimization (CRPSO) is used for the design of 8th order infinite impulse response (IIR) band stop (BS) digital filter. The proposed CRPSO based approach has closely mimicked the particle's behaviour in a swarm which results in better exploration and exploitation in multidimensional search space. Performance of the proposed optimization technique is compared with some well accepted evolutionary algorithms such as PSO and real coded genetic algorithm (RGA). From the simulation study it is demonstrated that the proposed optimization technique CRPSO surmounts RGA and PSO, in terms of better quality output response, faster convergence speed and stability.