Модифікований генетичний алгоритм і його застосування для оптимізації розподілення завантаження робітників

Abstract

The article introduces into the issue of modern optimization methods used in the tasks of optimal decision search in case of compound dynamic objects managing, in particular, the work load allocation of employers. The brief description of the author version of the modified genetic algorithm for the optimization tasks (the MGA) is given. The MGA includes itself the block of prevention of the preliminary algorithm convergence in the local optimum. The results of testing of the MGA and its comparing with the performance of the Matlab tool of the genetic algorithm designing are also provided.