PROXY METHODS FOR EXPENSIVE FUNCTION OPTIMIZATION WITH EXPENSIVE NONLINEAR CONSTRAINTS
Patent №
US 8,670,960
Granted
2014-03-11
Filed 2010
Owner
SCHLUMBERGER TECHNOLOGY CORPORATION
Lab
—
AI components
6
ml · vision · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12914270
A method for optimizing expensive functions with expensive nonlinear constraints. The method includes selecting sample data for evaluating an expensive function of a simulation, generating a function proxy model for the expensive function and a constraint proxy model for an expensive nonlinear constraint of the expensive function using an approximation scheme, calculating a first solution point for the simulation using the proxy models, and evaluating the expensive function at the first solution point using the sample data. When the expensive function and the proxy models do not converge at the first solution point, the method further includes adding the first solution point to the sample data for updating the proxy models. The method further includes repeating the calculation and evaluation of solution points until the expensive function and the proxy models converge and, following convergence, identifying an optimal solution of the function proxy model and the constraint proxy model.
AI classification
Ownership
SCHLUMBERGER TECHNOLOGY CORPORATION
assignment · 255150552
Assignors
COUET, BENOIT, RASHID, KASHIF, WILKINSON, DAVID, AMBANI, SAUMIL, CETINKAYA, EREN, DJIKPESSE, HUGUES
On an employer assignment, the assignors are typically the inventors.