International Journals of Advanced Information Science and Technology (IJAIST)
FIR filter is multimodal design problem. Due to multimodal and non-linear nature of error surface conventional gradient based technique are not efficient for filter designing. So numerous authors have been solved the filter design problem by implementation of different global optimization algorithms and achieve promising results. In this paper, performance of various implementation techniques such as genetic algorithm, differential evolution algorithm, particle swarm optimization, adaptive differential evolution particle swarm optimization and cat swarm optimization are discussed and compared.