Filter modelling using quantum gravitational search algorithm

In this paper, the presentation of a new linear and nonlinear filter modelling based on quantum behaved gravitational search algorithm (QGSA) is proposed. To reach this aim, unknown filter parameters are considered as a vector to be optimized. Examples of infinite impulse response (IIR) filter design are given. To examine the effectiveness of QGSA based filter modelling, different sets of initial population are given and tested in simulations. Quantum behaved gravitational search algorithm (QGSA), standard gravitational search algorithm (GSA), genetic algorithm (GA) and particle swarm optimization (PSO) are also used to model the same examples and some simulation results are compared. Obtained results confirm the efficiency of the proposed method

کلیدواژه ها:

Filter modelling ، QGSA ، standard GSA