Evolutional algorithm in stock control

Evolutional algorithms are an excellent optimization tool performing well in such tasks where classic methods have no use. In this thesis the use of those algorithms in stock control was presented for the problem of stochastic function of cost criterion. Such functions are used in case of random demand with a constant delivery period. The operation of this algorithm was presented on the example strongly referring to the real problem of stock control. This algorithm is a recommendation for implementing changes in the information system of supporting the planning of material needs in the area of research project.