SS7-3 A Method for Selecting Reallocation Swarms in Design of IIR Filters
◎Haruna Aimi,Kenji Suyama(Tokyo Denki University)
In this paper, we study a novel 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 occurs due to a strong directivity in the searching. To avoid a local minimum stagnation, 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. However, a suitable number of searching swarms is unknown. In this paper, we study the suitable number of searching swarms through several design examples.