Satisfactory Optimization Design Of FIR Digital Filter Based On Adaptive Particle Swarm Optimization

Based on the study of particle swarm optimization (PSO) and satisfactory optimization, a new strategy of multi-criterion satisfactory optimization on adaptive particle swarm optimization (MOAPSO) is presented in this paper. MOAPSO is not only to avoid the particles getting into local best solution during the optimization, but also give attention to the incompatible criterions under the condition of valid solution or minor valid solution. Applying MOAPSO to optimize transition sample values, performance of FIR digital filter can be improved. The simulation results show that MOAPSO is effective and superior in FIR digital filter design.