Adaptive Filtering Formulation in Terms of Genetic Algorithms

The methodology of digital filters design evolves in two main directions. One approach is to seek for the exact solutions of corresponding error criterion minimum which exist only in limited number of cases. other possible method is to be satisfied with quasioptimal filter's behaviour and try to find the adaptive filtering algorithm. The most superb adaptive systems we know are the biological ones, so we ask why not to exploit the mechanisms of adaptation which has proved their excellent performance in the course of natural evolution.