We provide a method for deriving robust solutions to certain stochastic optimization problems, based on mean-covariance information about the distributions underlying the uncertain vector of returns.

Three multi-objective optimization problems are formulated, solved and compared: deterministic optimization using MZDS-lite, deterministic optimization using surrogate models and RBDO using surrogate ...

As for the optimization, the deterministic optimization of a tour mission includes 2 parts: (a) the flyby sequence optimization that requires broad search and (b) impulsive and continuous ...

Finally, Deterministic Nominal Optimization (DNO) is applied at worst-case conditions, successfully meeting all specifications with minimal area increase, showcasing WiCkeD’s efficiency in handling ...

IEMS 313-1: Deterministic Models and Optimization VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Gen Eng 205-1, Math 230, Sophomore standing Description Formulation and solution of applicable ...