最悪ケースを想定した最適解のロバスト性に関する研究

抄録

There are a lot of studies on Robust Design. Mainly, they had two objective functions such as maximizing their behavior and minimizing influence of behavior against perturbation of design variables and/or design parameters. Conceptually, these ideas are meaningful for real use of the results. However, in its formulation, they mainly use first order of Taylor expansion to estimate influence against perturbation. In that sense, they optimize behavior and its sensitivity. But, we have pointed out these formulation are wrong in the last study, and think about robustness of the solution by carrying out optimization assuming worst case. In this study, we would like to treat trade-off between behavior and amount of perturbation.