Performance evaluation of IIR filter design using multi-swarm PSO
Haruna Aimi, Kenji Suyama · 2015
In this paper, we study a method to avoid a premature convergence in the design of IIR (Infinite Impulse Response) filters using PSO (Particle Swarm Optimization). Although PSO is applicable to solve nonlinear optimization problems, it is reported that a local minimum stagnation often occurs due to a strong directivity during the searching. To avoid the local minimum stagnation, the particle reallocation method has been proposed in our previous work. In this method, a reallocation space is determined by using the stagnation swarm and the another two swarms selected randomly. In this paper, a design performance is evaluated though several design examples.