Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2002-09-19
2009-02-03
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C700S028000, C703S001000
Reexamination Certificate
active
07487133
ABSTRACT:
The method and apparatus adaptively determine weighting factors within the context of an objective function for handling optimality conditions and constraints within an optimization search. The objective function is defined as a sum of credit and penalty components. The credit components represent the optimality conditions for the problem. The penalty components represent the constraint violations for the problem. Initially, each component is made up of a weight multiplied by a mathematical expression, called a term, that quantifies either an optimality condition or a constraint violation. The set of credit and penalty weights are adaptively determined based on the progress of an optimization search. Both static and dynamic representations of the modified objective function are used to perform the adaption.
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Cline William Charles
Kropaczek David Joseph
Russell, II William Earl
Global Nuclear Fuel - Americas, LLC
Harness Dickey & Pierce PLC
Hirl Joseph P
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