Abstract: A computer-implemented search and poll method can iteratively solve a multi-fidelity optimization problem including an objective function and any constraints. A search step of the method includes constructing and optimizing surrogates of the objective function and any constraints to identify a new set of trial points, and running lower fidelity simulations in ascending order to reduce a number of trial points in the new set. The search step further includes evaluating the reduced number of trial points with the objective function and any constraints using a high fidelity simulation.

Abstract: A system and method for determining an optimum geographic location using a system of systems. A Design of Experiments is conducted for a particular system of systems architecture using a simulation engine based upon a predefined set of inputs, and Response Surface Models (RSMs) are generated based on the results. The RSMs are evaluated to determine candidate points to minimize or maximize the desired response(s). A candidate geographic location point is set, and one or more truth runs are performed for values in a set of defined second level values. The RSMs are updated based on such truth runs. The process of optimizing, performing a truth run and updating is repeated until the optimal value of the selected variable converges toward a global minimum or maximum, or a predetermined threshold number of iterations is exhausted. The optimum geographic location is designated as the final candidate geographic location point.

Abstract: A computer-implemented search and poll method can iteratively solve a multi-fidelity optimization problem including an objective function and any constraints. A search step of the method includes constructing and optimizing surrogates of the objective function and any constraints to identify a new set of trial points, and running lower fidelity simulations in ascending order to reduce a number of trial points in the new set. The search step further includes evaluating the reduced number of trial points with the objective function and any constraints using a high fidelity simulation.