Filter approximation problem using de algorithms

This article introduces a new approach to the filter approximation problem solution. When requirements to the filter cannot be fulfilled by an analytic approximation function, it is necessary to use non-standard methods based on numerical optimization procedures. Here the differential evolutionary algorithm offers far-out solutions. It allows multi-criteria requirements and it is independent on initial condition settings. A newly developed algorithm is described here and the results obtained are demonstrated on some examples.