NIST · ИТ · 74fff40b1ec94386ea34
Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models
Large infrastructures, such as clouds, can exhibit substantial outages, sometimes due to failure scenarios that were not considered during system design. We define a method that uses a genetic algorithm (GA) to search system simulations for parameter
NIST · ИТОфициальный источник · 2013-10-28
{
"title_en": "Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models",
"designation": "",
"series": "",
"status": "",
"date": "2013-10-28",
"date_original": "October 28, 2013",
"url": "https://www.nist.gov/publications/combining-genetic-algorithms-simulation-search-failure-scenarios-system-models",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Kevin L. Mills , Christopher E. Dabrowski , James J. Filliben , Sanford P. Ressler",
"abstract_excerpt_en": "Large infrastructures, such as clouds, can exhibit substantial outages, sometimes due to failure scenarios that were not considered during system design. We define a method that uses a genetic algorithm (GA) to search system simulations for parameter",
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{
"title_en": "Combining Genetic Algorithms & Simulation to Search for Failure Scenarios in System Models",
"designation": "",
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"date": "2013-10-28",
"date_original": "October 28, 2013",
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"authors_en": "Kevin L. Mills , Christopher E. Dabrowski , James J. Filliben , Sanford P. Ressler",
"abstract_excerpt_en": "Large infrastructures, such as clouds, can exhibit substantial outages, sometimes due to failure scenarios that were not considered during system design. We define a method that uses a genetic algorithm (GA) to search system simulations for parameter"
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