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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.

Patent No.:

US 12430539 B1

PDFFull Text
Date of Patent:
Sep. 30, 2025

Filed:

Oct. 28, 2022

System and method for adaptive optimization

Applicant:

Incucomm, Inc., Addison, TX (US);

Inventor:

Randal Allen, Orlando, FL (US);

Assignee:

INCUCOMM, INC., Addison, TX (US);

Attorney:

Boisbrun Hofman, PLLC

Primary Examiner:

Yoshihisa Ishizuka

Int. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 7/22 (2006.01); G06F 11/34 (2006.01); G06F 17/11 (2006.01); G06F 17/14 (2006.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06F 30/27 (2020.01); G06F 111/10 (2020.01); G06N 3/08 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 7/22 (2013.01); G06F 11/3452 (2013.01); G06F 17/11 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06F 30/27 (2020.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06F 17/142 (2013.01); G06F 2111/10 (2020.01);
Abstract

Systems and methods for adaptively optimizing a performance function for operating a system. A performance function for a system is adaptively optimized, and utilized for the operation of the system, by selecting a first value for a first independent variable that determines an operating state of the system described by a performance function; establishing a first range of values for the first independent variable; selecting a first number of values in the first range of values to test the first independent variable; selecting first random values within the first range of values for the first independent variable based on the first number of values; evaluating the performance function at the first random values; optimizing the performance function by selecting the first value of the first independent variable from the first random values that provides a first extremum value for the performance function.

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