Autodesk, Inc.
Optimization learns from the user

Abstract:

A method and apparatus of a device that incorporates a user preference into a multi-objective optimization while the multi-objective optimization is running is described. In an exemplary embodiment, the device generates a first plurality of intermediate designs based on optimizing a plurality of variable values corresponding to the multiple dimensions of the multi-objective optimization. In addition, each of the first plurality of intermediate designs includes a corresponding weight. Furthermore, the device outputs the first plurality of intermediate designs. The device additionally receives a preference indicator for a selected one of the intermediate designs, where a user inputs the preference indicator while the multi-objective optimization is running. The device further adjusts the corresponding weight of the selected one of the first plurality of intermediate designs based on the preference indicator. In addition, the device generates a second plurality of intermediate designs using the adjusted corresponding weight of the selected one of the first plurality of intermediate designs.