The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 19, 2022

Filed:

Aug. 20, 2018
Applicant:

University of Southern California, Los Angeles, CA (US);

Inventors:

Daniel A. Lidar, La Canada, CA (US);

Walter Vinci, Claremont, CA (US);

Assignee:

University of Southern California, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/00 (2006.01); G06F 17/11 (2006.01); G06F 17/18 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 5/003 (2013.01); G06F 17/11 (2013.01); G06F 17/18 (2013.01); G06N 7/005 (2013.01);
Abstract

An optimally stopped heuristic optimizer includes a processor. The processor heuristically generates a sequence of proposed solutions for solving a discrete optimization problem associated with an objective function, and for each additional proposed solution of the sequence, derives an estimate of a quality distribution that is based on the sequence including the additional proposed solution. The quality distribution assigns a probability to each of the proposed solutions according to quality of the proposed solution. The processor further, responsive to a most recent additional proposed solution of the sequence having quality better than a quality threshold that is defined by the estimate corresponding to the sequence including the most recent additional proposed solution, commands a stop such that further proposed solutions to the discrete optimization problem are no longer generated, and identifies and outputs a selected one of the sequence having best quality.


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