In this article the optimal use of unique equipment problem solving by means of genetic algorithm is considered. It is shown that the arising task is non-stationary, for its decision the hybrid population and genetic algorithm with adaptation of non-stationary decisions is used. On practice such problem is devided into two tasks: planning the optimal use of unique equipment for one week and direct management problem. Both problems are solved by means jf genetic algotithm.

Keywords: optimal use of unique equipment problem, genetic algorythm, dynamic knapsack problem, non-stationary solutions adaptation