How to Execute Robust Design Optimization

The problem of robust design optimization consists in the search for technical solutions that can be implemented in practice with high probability. From mathematical point of view the problem comes to optimization of design parameters of the system under investigation according to probabilistic criteria. This paper presents essential stages of robust design optimization solution: identifying uncertainties and choosing mathematical model; forming of probabilistic criteria; optimization problem statement; choosing the procedure for calculation of probabilistic criteria and choosing the optimization technique. Options for robust design optimization solution are considered with the use of multiobjective optimization techniques as well as with procedures of multilevel optimizations. Examples of real-life problems solution are also given.