Non-probabilistic robust optimization design based on interval analysis.

A novel non-probabilistic robust design optimization model using interval analysis is presented. Based on non-linear interval number programming and function interval extension, the robustness was assessed, and the uncertain robust optimization model with interval parameters was transformed into a deterministic form, which can achieve the objective with any expected robustness level according to decision-maker, and a bi-level mathematical model is established. This model doesn't require the presumed probability distribution of uncertain factors and gradient or continuous information of constraints and objective functions. Experimental results demonstrate the effectiveness of the given method. [ABSTRACT FROM AUTHOR]