Genetic algorithm

Results: 1266



#Item
941Active Learning of Intuitive Control Knobs for Synthesizers Using Gaussian Processes Cheng-Zhi Anna Huang Harvard University [removed]

Active Learning of Intuitive Control Knobs for Synthesizers Using Gaussian Processes Cheng-Zhi Anna Huang Harvard University [removed]

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Source URL: www.eecs.harvard.edu

Language: English - Date: 2014-01-17 09:10:51
942Using Genetic Algorithms to Search for Failure Scenarios Kevin Mills, James Filliben and Chris Dabrowski from NIST We are investigating the use of genetic algorithms (GAs) to steer system models into anti-optimal behavio

Using Genetic Algorithms to Search for Failure Scenarios Kevin Mills, James Filliben and Chris Dabrowski from NIST We are investigating the use of genetic algorithms (GAs) to steer system models into anti-optimal behavio

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Source URL: www.nist.gov

Language: English - Date: 2013-03-01 14:16:12
943Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters A. L. Haines [removed] Warren Rogers Associates, Middletown, Rhode Island 20842, USA

Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters A. L. Haines [removed] Warren Rogers Associates, Middletown, Rhode Island 20842, USA

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Source URL: www.nist.gov

Language: English
944Paper Title (use style: paper title)

Paper Title (use style: paper title)

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Source URL: www.nist.gov

Language: English - Date: 2013-10-24 11:36:24
945Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models Kevin Mills, Chris Dabrowski, Jim Filliben and Sandy Ressler NIST Cloud Security Working Group

Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models Kevin Mills, Chris Dabrowski, Jim Filliben and Sandy Ressler NIST Cloud Security Working Group

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Source URL: www.nist.gov

Language: English - Date: 2013-07-18 10:27:38
946Objective GA Background Sensitivity Analysis

Objective GA Background Sensitivity Analysis

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Source URL: www.nist.gov

Language: English - Date: 2012-08-06 15:00:03
947Practical Challenges when Implementing a Distributed Population of Cloud-Computing Simulators Controlled by a Genetic Algorithm K. Mills, C. Dabrowski & D. Santay National Institute of Standards & Technology Gaithersburg

Practical Challenges when Implementing a Distributed Population of Cloud-Computing Simulators Controlled by a Genetic Algorithm K. Mills, C. Dabrowski & D. Santay National Institute of Standards & Technology Gaithersburg

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Source URL: www.nist.gov

Language: English - Date: 2013-04-02 10:45:35
948Predicting Global Failure Regimes in Complex Information Systems Proportion of Requests Granted 1.0

Predicting Global Failure Regimes in Complex Information Systems Proportion of Requests Granted 1.0

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Source URL: www.nist.gov

Language: English - Date: 2012-06-26 15:26:34
949Predicting Global Failure Regimes in Complex Information Networks Chris Dabrowski, Jim Filliben and Kevin Mills July 12, 2012 SFI Workshop on Measurement of Complex Networks A2a

Predicting Global Failure Regimes in Complex Information Networks Chris Dabrowski, Jim Filliben and Kevin Mills July 12, 2012 SFI Workshop on Measurement of Complex Networks A2a

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Source URL: www.nist.gov

Language: English - Date: 2012-07-11 16:53:37
950Improving Cloud Reliability (and reliability for complex information systems in general) Image shows one frame from a 5-Dimensional animation of a Genetic Algorithm (GA) searching for an optimal combination of oven

Improving Cloud Reliability (and reliability for complex information systems in general) Image shows one frame from a 5-Dimensional animation of a Genetic Algorithm (GA) searching for an optimal combination of oven

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Source URL: www.nist.gov

Language: English - Date: 2012-06-11 13:45:40