A new cultural algorithm with double populations for IIR digital filter design

A new cultural algorithm (CA) with double populations is proposed for designing infinite impulse response (IIR) digital filters. Two populations evolve independently according to particle swarm optimization (PSO) and differential evolution (DE) algorithm, respectively. Belief space plays the role of knowledge link in mutual cooperation and promotion between populations. This algorithm provides a new way for the co-evolution of multi-population. The computer simulations of IIR filter design indicate that the proposed algorithm is practicable and superior in terms of convergence speed and optimization effect compared with other algorithms.