The Boeing Company

Joseph P Simonis

Kelsea Cox

James Michael Milstead

Andrew James Booker

Evin J Cramer

Roger Keith Bolton

Mark A Abramson

Curtis A Armstrong

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.

Method for solving multi-fidelity optimization problems

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.

System and method for location optimization for BDMS

Growing community of inventors

Webster Groves, MO, United States of America

Joseph P Simonis