Invention Grant
- Patent Title: Analytics-driven global optimization strategy selection and refinement
-
Application No.: US14082672Application Date: 2013-11-18
-
Publication No.: US10740430B2Publication Date: 2020-08-11
- Inventor: Francesco Iorio
- Applicant: AUTODESK, INC.
- Applicant Address: US CA San Rafael
- Assignee: Autodesk, Inc.
- Current Assignee: Autodesk, Inc.
- Current Assignee Address: US CA San Rafael
- Agency: Artegis Law Group, LLP
- Main IPC: G06F17/11
- IPC: G06F17/11 ; G06Q10/06

Abstract:
A centralized optimization engine is configured to receive a problem specification that defines an optimization problem to be solved. The optimization engine classifies the problem specification within a large dataset of previously solved optimization problems. The optimization engine selects one or more solution strategies associated with similar optimization problems, and then executes those solution strategies to solve the optimization problem. Over time, the optimization engine updates the large data set with statistical information that reflects the performance of different solution strategies applied to various optimization problems, thereby increasing the effectiveness with which optimization problems may be solved.
Public/Granted literature
- US20140149331A1 ANALYTICS-DRIVEN GLOBAL OPTIMIZATION STRATEGY SELECTION AND REFINEMENT Public/Granted day:2014-05-29
Information query