The Dynamic Formulation of the Multi-Purpose Maximization Problem

The finite-dimensional multiple-objective task of functions maximization is considered in the case when arguments of target functions are also functions of time. In case of the extended problem formulation, not only search for “optimum points” (static compromises) but also search for dynamic compromises, i.e. attractors of systems of the dynamic equations which describe process of plotting of controlled variables by a group of the decision-making persons (limit cycles, limit tori, “the strange attractors etc), is carried out. Many application-oriented examples are given.