Preface to the Special Session Numerical Global Optimization Algorithms

摘要

Decision making models formulated as global optimization problems occur in many contemporary real world fields and require for their development significant variety of theoretical, algorithmic, computational, and applied researches. Numerical methods are the main tools for solving global optimization problems in all subareas: nonlinear, combinatorial, stochastic programming, multicriterial optimization, optimal control, game theory, approximation, etc. The scope of the session consists of consideration of numerical global optimization algorithms in the broad sense including presentation of new efficient algorithms, their theoretical substantiation and implementation, generalization to parallel computations on supercomputers, results of numerical experiments, and solving some applied problems.