Multicriteria systems of optimization in agro-industrial complex

Introduction. The article deals with multicriteria systems of optimization and their advantage over one-criterion systems. This approach is based on the key ideas of the famous economist V. Pareto. Recent interest of many scientists to this area of knowledge is caused by emergence of multicriteria tasks in all spheres of human activities. Materials and Methods. For consideration of this issue, the mathematical models of an optimization object are made, the optimal criteria are chosen, the possible restrictions are set. Results. Design of difficult systems is always multicriteria challenge, because the designers take into account many requirements for the system. For a complete review of all positive qualities and defects of the proposed facility, the number of quality criteria taken into account was increased. Choosing the best option is burdened by incomplete information and difficulties of determining the significance of optimization criteria. The method, presented by the authors, can overcome most of the difficulties. Discussion and Conclusions. In the previous studies we considered the tasks where there was one main criterion and, accordingly, only the objective function. The choice of the best solutions for several criteria is a more complex task on. The final decision must take into account the importance of each objective function. The main difficulty with multi-criteria optimization is the selection of the best solution. It is necessary to take into account all requirements for the object under considerating.