Multi-variable control-based optimization to achieve target goal

• US 8,321,183 B2
• Filed: 01/13/2009
• Issued: 11/27/2012
• Est. Priority Date: 01/13/2009
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Shah, Amip J., Bash, Cullen E.
• Primary Examiner(s): Jacob, Mary C
• Application Number:
  US12/353,104
• Publication Number:
  US 20100179794A1
• Time in Patent Office: 1,414 Days
• Field of Search: 703/2
• US Class Current: 703/2
• CPC Class Codes: G06F 2111/06 Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
• CPC Class Codes: G06F 2111/08 Probabilistic or stochastic CAD
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

In a computer-implemented method of designing at least one system to achieve a target goal, an inventory of a plurality of variables that affect the design of the at least one system is created, where the inventory includes a feasibility range for each of the plurality of variables contained in the inventory is created. In addition, initial values are assigned for the plurality of variables in the inventory and a model of input to output correlations of the plurality of variables is created by commissioning the plurality of variables from the initial values. Moreover, a design of the at least one system to achieve the target goal is optimized by manipulating one or more of the plurality of variables through application of the model.

Claims

1. A computer-implemented method of designing at least one system to achieve a target environmental goal, said method comprising:

creating an inventory of a plurality of variables that affect the design of the at least one system, wherein the inventory includes a feasibility range for each of the plurality of variables contained in the inventory, and wherein the plurality of variables pertain to at least one stage in a lifecycle of the at least one system;

determining which of the plurality of variables are independent;

determining a respective level of effect of each independent variable on at least one metric of the at least one system based on a simulation that includes selecting each independent variable and sweeping each independent variable over a defined space;

assigning initial values for the plurality of variables in the inventory;

creating a model of input to output correlations of the plurality of variables by commissioning the plurality of variables from the initial values; and

optimizing, by a processor, a design of the at least one system to achieve the target environmental goal by manipulating one or more of the plurality of variables through application of the model, wherein manipulating includes manipulating the independent variables in a particular order based on the respective levels of effects.

2. The computer-implemented method according to claim 1, wherein the method includes:

determining whether an optimal design to achieve the target environmental goal has been met; and

outputting settings of the plurality of variables that yield the optimal design in response to the target environmental goal being met.

3. The computer-implemented method according to claim 2, wherein the method includes further modifying one or more of the plurality of variables to identify an optimal design in response to an optimal design not being identified.

4. The computer-implemented method according to claim 2, wherein the method includes outputting an indication that the target goal has not been met in response to a determination that an optimal design has not been identified.

5. The computer-implemented method according to claim 1, wherein the method includes:

receiving the target environmental goal, wherein the target environmental goal comprises a goal selected from the group consisting of sustainability, exergy destruction, and energy consumption pertaining to at least one lifecycle of the at least one system.

6. The computer-implemented method according to claim 1, wherein the method includes sequentially perturbing a plurality of the variables and determining input and output correlations of the perturbed plurality of variables.

7. The computer-implemented method according to claim 6, wherein the method includes implementing a statistical technique to reduce a number of iterations required to determine the input to output correlations of the perturbed plurality of variables.

8. The computer-implemented method according to claim 1, wherein the method includes identifying which of the plurality of variables are independent variables, and wherein creating the model further comprises creating the model through use of only the plurality of variables identified as independent variables.

9. A system for designing at least one system to achieve a target environmental goal, comprising:

a processor; and

a memory storing instructions executable by the processor to;

identify a plurality of variables that affect the design of the at least one system;

create an inventory of the plurality of variables, wherein the inventory includes a feasibility range of each of the plurality of variables contained in the inventory, and wherein the plurality of variables pertain to at least one stage in a lifecycle of the at least one system;

determine which of the plurality of variables are independent; and

determine a respective level of effect of each independent variable on at least one metric of the at least one system based on a simulation that includes selecting each independent variable and sweeping each independent variable over a defined space;

assign starting values for the plurality of variables;

create a model of input to output correlations of the plurality of variables by commissioning the plurality of variables from the starting values;

optimize a design of the at least one system to achieve the target environmental goal by manipulating one or more of the plurality of variables through application of the model, wherein manipulating includes manipulating the independent variables in a particular order based on the respective levels of effects, and wherein the target environmental goal comprises a goal selected from the group consisting of sustainability, exergy destruction, and energy consumption pertaining to at least one lifecycle of the at least one system.

10. The system of claim 9, wherein the instructions include instructions to:

receive data regarding at least one of one or more material and one or more process options for the fabrication of the at least one system; and

identify the design variables that affect the design of the at least one system from the received data.

11. The system of claim 9, wherein the instructions include instructions to sequentially perturb a plurality of variables and to determine input and output correlations of the perturbed plurality of variables in creating the model.

12. The system of claim 11, wherein the instructions include instructions to implement a statistical technique to reduce a number of iterations required to determine the input to output correlations of the perturbed plurality of variables.

13. The system of claim 9, wherein the instructions include instructions to to create the model through use of only the independent variables.

14. A non-transitory computer readable storage medium storing instructions thereon, the instructions executed by a processor to:

create an inventory of the plurality of variables that affect the design of the at least one system, wherein the inventory includes a feasibility range for each of the plurality of variables contained in the inventory, and wherein the plurality of variables pertain to at least one stage in a lifecycle of the at least one system;

determine which of the plurality of variables are independent;

determine a respective level of effect of each independent variable on at least one metric of the at least one system based on a simulation that includes selecting each independent variable and sweeping each independent variable over a defined space;

assign initial values for the plurality of variables in the inventory;

create a model of input to output correlations of the plurality of variables by commissioning the plurality of variables from the initial values; and

optimize a design of the at least one system to achieve the target environmental goal by manipulating one or more of the plurality of variables through application of the model, wherein manipulating includes manipulating the independent variables in a particular order based on the respective levels of effects.

15. The non-transitory computer readable storage medium according to claim 14, wherein the instructions include instructions to:

determine whether an optimal design to achieve the target environmental goal has been met, wherein the target environmental goal comprises a goal selected from the group consisting of sustainability, exergy destruction, and energy consumption pertaining to at least one lifecycle of the at least one system; and

output settings of the plurality of variables that yield the optimal design in response to the target environmental goal being met.