Abstract: This paper introduces the design method of the four-order state variable filter with the particle swarm optimization and genetic algor ithm. The evolution results were emulated via Pspice, and the actual electric circuit was tested. The statistical data were compared, the results indicate that the important indexes of average convergence generation and average convergence time are much better in particle swarm optimization than those in basic genetic algorithms.

Key words: particle swarm optimization, genetic algorithm, four-order state variable filter, emulation