Methods and systems for applying genetic operators to determine system conditions

• US 7,882,048 B2
• Filed: 01/15/2008
• Issued: 02/01/2011
• Est. Priority Date: 08/01/2003
• Status: Active Grant

• Current Assignee: Telepathy Labs, Inc.
• Original Assignee: Icosystem Corp.
• Inventors: Anderson, Carl, Budynek, Julien, Scott, John M., Malinchik, Sergey, Bonabeau, Eric
• Primary Examiner(s): HOLMES, MICHAEL B
• Application Number:
  US12/014,490
• Publication Number:
  US 20080140374A1
• Time in Patent Office: 1,113 Days
• Field of Search: 706/13
• US Class Current: 706/13
• CPC Class Codes: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming

Abstract

Disclosed are methods, systems, and/or processor program products that include generating a population of genotypes, the genotypes based on at least one stimulus to a system, measuring at least one response of the system upon providing the population of genotypes to at least one model of the system, and, based on the measured at least one response of the system, performing at least one of: (a) applying at least one genetic operator to at least some of the population of genotypes, and iteratively returning to generating a population of genotypes, and (b) associating a condition of the system with at least one of the population of genotypes.

Claims

1. In a computer system having at least one user interface including at least one output device and at least one input device, a method for determining a vulnerability of a control system external to the computer system, comprising

a) receiving, through at least one of said input devices, input with respect to a plurality of sensors associated with the external control system;

b) based upon the input received, generating in the computer system an initial population of genotypes, the said initial population being based on at least one of the said plurality of sensors associated with the external control system,

c) measuring at least one response of the external control system upon providing the population of genotypes to at least one model of the external control system,

d) for each said measured response of the external control system, determining if the said response has revealed a vulnerability of the said external control system,

e) based on at least one measured response of the external control system revealing a vulnerability of the external control system, presenting data related to the said revealed vulnerability to at least one user through at least one output device,

f) based on the said measured responses of the external control system not revealing a vulnerability of the external control system, applying at least one genetic operator to at least one of the population of genotypes to obtain a further population of genotypes, and repeating step c).

2. The method of claim 1, further comprising determining if the said response has revealed a vulnerability of the external control system by comparing the said response to a metric.

3. The method of claim 1, further comprising determining if the said response has revealed a vulnerability of the external control system by comparing the said response to at least one of a fitness function and an objective function.

4. The method of claim 1, further comprising determining if the said response has revealed a vulnerability of the external control system by presenting the said response to a user through at least one output device, and receiving input from the said user through at least one input device.

5. The method of claim 1, further comprising,

through at least one output device, presenting information with respect to at least one measured response to at least one user and

through at least one input device, receiving information from the said at least one user, the information based on the said user'"'"'s evaluation of the presented information,

wherein the said received information includes at least one of:

a rank of the at least one measured response, a rating of the at least one measured response, one or more fitness values, a selection of the at least one measured response, a selection of a feature of the at least one measured response, a termination of the method, an identification of parents for a genetic algorithm, at least one constraint, a modification of at least one constraint, a modification of at least one genetic operator, and a specification of at least one genetic operator.

6. The method of claim 5, further comprising terminating the method based on the received information.

7. The method of claim 1, wherein applying at least one genetic operator comprises applying at least one of:

selection, crossover, mutation, deletion, diversity injection, elitism.

8. The method of claim 1, wherein applying at least one genetic operator comprises implementing elitism by:

through at least one output device, presenting at least two graphical representations to at least one user, each of the at least two graphical representations associated with at least one genotype in the population and at least one of the measured responses,

through at least one input device, receiving a selection of at least one of the graphical representations from at least one user,

identifying at least one genotype associated with the at least one selected graphical representation, and

returning to generating a population of genotypes including the identified at least one genotype.

9. The method of claim 1, wherein applying at least one genetic operator comprises implementing elitism by:

comparing the at least one measured response to a measure,

based on the comparison, identifying at least one genotype, and,

returning to generating a population of genotypes including the identified at least one genotype.

10. The method of claim 1, wherein applying at least one genetic operator comprises:

ranking the at least one measured response based on a comparison to a metric, and,

applying the at least one genetic operator based on the ranking.

11. The method of claim 1, wherein applying at least one genetic operator comprises applying at least one constraint to at least one of the genotypes.

12. The method of claim 11, wherein applying at least one constraint comprises weighting the at least one constraint.

13. The method of claim 1, wherein determining if the said response has revealed a vulnerability of the said external system, comprises:

comparing the measured at least one response to at least one threshold, and,

determining the vulnerability based on the comparison.

14. The method of claim 1, wherein the external system vulnerability comprises at least one of:

at least one external system error, at least one external system defect, at least one external system loophole, and at least one external system weakness.

15. A computer-readable medium having computer-readable instructions stored thereon which, as a result of being executed in a computer system having at least one user interface including at least one output device and at least one input device, instruct the computer system to perform a method, comprising:

a) receiving, through at least one of said input devices, input with respect to a plurality of sensors associated with the external control system;

b) based upon the input received, generating in the computer system an initial population of genotypes, the said initial population being based on at least one of the said plurality of sensors associated with the external control system,

c) measuring at least one response of the external control system upon providing the population of genotypes to at least one model of the external control system,

d) for each said measured response of the external control system, determining if the said response has revealed a vulnerability of the said external control system,

e) based on at least one measured response of the external control system revealing a vulnerability of the external control system, presenting data related to the said revealed vulnerability to at least one user through at least one output device,

f) based on the said measured responses of the external control system not revealing a vulnerability of the external control system, applying at least one genetic operator to at least one of the population of genotypes to obtain a further population of genotypes, and repeating step c).

16. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method further comprising determining if the said response has revealed a vulnerability of the external control system by comparing the said response to a metric.

17. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method further comprising determining if the said response has revealed a vulnerability of the external control system by comparing the said response to at least one of a fitness function and an objective function.

18. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method further comprising determining if the said response has revealed a vulnerability of the external control system by presenting the said response to a user through at least one output device, and receiving input from the said user through at least one input device.

19. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method further comprising,

through at least one output device, presenting information with respect to at least one measured response to at least one user and

through at least one input device, receiving information from the said at least one user, the information based on the said user'"'"'s evaluation of the presented information,

wherein the said received information includes at least one of:

a rank of the at least one measured response, a rating of the at least one measured response, one or more fitness values, a selection of the at least one measured response, a selection of a feature of the at least one measured response, a termination of the method, an identification of parents for a genetic algorithm, at least one constraint, a modification of at least one constraint, a modification of at least one genetic operator, and a specification of at least one genetic operator.

20. The computer-readable medium of claim 19, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method further comprising terminating the method based on the received information.

21. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one genetic operator comprises applying at least one of:

selection, crossover, mutation, deletion, diversity injection, elitism.

22. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one genetic operator comprises implementing elitism by:

through at least one output device, presenting at least two graphical representations to at least one user, each of the at least two graphical representations associated with at least one genotype in the population and at least one of the measured responses,

through at least one input device, receiving a selection of at least one of the graphical representations from at least one user,

identifying at least one genotype associated with the at least one selected graphical representation, and

returning to generating a population of genotypes including the identified at least one genotype.

23. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one genetic operator comprises implementing elitism by:

comparing the at least one measured response to a measure,

based on the comparison, identifying at least one genotype, and,

returning to generating a population of genotypes including the identified at least one genotype.

24. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one genetic operator comprises:

ranking the at least one measured response based on a comparison to a metric, and,

applying the at least one genetic operator based on the ranking.

25. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one genetic operator comprises applying at least one constraint to at least one of the genotypes.

26. The computer-readable medium of claim 25, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein applying at least one constraint comprises weighting the at least one constraint.

27. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein determining if the said response has revealed a vulnerability of the said external system, comprises:

comparing the measured at least one response to at least one threshold, and,

determining the vulnerability based on the comparison.

28. The computer-readable medium of claim 15, wherein the computer-readable instructions stored thereon instruct the computer system to perform a method wherein the external system vulnerability comprises at least one of:

at least one external system error, at least one external system defect, at least one external system loophole, and at least one external system weakness.