Method and apparatus for evaluating robustness of proposed solution to constraint problem and considering robustness in developing a constraint problem solution
First Claim
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1. A method of evaluating robustness of a proposed solution to a constraint problem, comprising:
- generating operational output data for at least first and second modified versions of the proposed solution, the first modified version having at least one control variable of the proposed solution perturbed in a first direction and the second modified version having the at least one control variable of the proposed solution perturbed in a second direction; and
presenting at least a portion of the generated operation output data.
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Abstract
In an embodiment of a method of evaluating robustness of a proposed solution to a constraint problem, operational output data for at least first and second modified versions of the proposed solution is generated. The first modified version has at least one control variable of the proposed solution perturbed in a first direction and the second modified version has the at least one control variable of the proposed solution perturbed in a second direction. At least a portion of the generated operation output data is then presented such as on a graphical user interface.
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Citations
16 Claims
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1. A method of evaluating robustness of a proposed solution to a constraint problem, comprising:
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generating operational output data for at least first and second modified versions of the proposed solution, the first modified version having at least one control variable of the proposed solution perturbed in a first direction and the second modified version having the at least one control variable of the proposed solution perturbed in a second direction; and
presenting at least a portion of the generated operation output data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of configuring an objective function, comprising:
configuring an objective function to include at least one term accounting for robustness.
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13. A method of evaluating a proposed solution for robustness, comprising:
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configuring an objective function to includes at least one term accounting for robustness;
receiving input variable values for the objective function; and
generating a figure of merit for the proposed solution based on the configured objective function and the received input variable values.
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14. A method of generating a solution to an optimization problem, comprising:
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generating at least one candidate solution;
generating an objective function value using a configured objective function, the configured objective function including at least one term accounting for robustness; and
assessing convergence of a solution based on the objective function value.
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15. A method for operating a system, comprising:
implementing a solution derived using an objective function that includes at least one term accounting for robustness.
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16. An apparatus for evaluating robustness of a proposed solution to a constraint problem, comprising:
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a processor generating operational output data for at least first and second modified versions of the proposed solution, the first modified version having at least one control variable of the proposed solution perturbed in a first direction and the second modified version having the at least one control variable of the proposed solution perturbed in a second direction; and
a user interface presenting at least a portion of the generated operation output data.
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Specification