Multi-criterion filter design via differential evolution method for function minimization

This article proposes a solution to the problem of multi-criterion filter design. In contrast to standard method it allows one to solve problems of filter design with all sorts of limitations. To solve these large constraint problems, modifying differential evolution (DE) is used as an effective way for penalty function minimization that describes required deviation. This technique has been applied to computer filter design and some results are pretty good.