NIST · ИТ · e963d839141dd1b9908d
Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters
We intend to use a classic genetic algorithm (GA) to steer a population of cloud-computing simulators into behavioral directions that reveal degraded performance and system collapse. Such a method could serve as a design tool, empowering system engineers
NIST · ИТОфициальный источник · 2014-09-25
{
"title_en": "Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters",
"designation": "",
"series": "",
"status": "",
"date": "2014-09-25",
"date_original": "September 25, 2014",
"url": "https://www.nist.gov/publications/determining-relative-importance-and-best-settings-genetic-algorithm-control-parameters",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Kevin L. Mills , James J. Filliben , Andrea Haines",
"abstract_excerpt_en": "We intend to use a classic genetic algorithm (GA) to steer a population of cloud-computing simulators into behavioral directions that reveal degraded performance and system collapse. Such a method could serve as a design tool, empowering system engineers",
"id": "e963d839141dd1b9908d",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters",
"designation": "",
"series": "",
"status": "",
"date": "2014-09-25",
"date_original": "September 25, 2014",
"url": "https://www.nist.gov/publications/determining-relative-importance-and-best-settings-genetic-algorithm-control-parameters",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Kevin L. Mills , James J. Filliben , Andrea Haines",
"abstract_excerpt_en": "We intend to use a classic genetic algorithm (GA) to steer a population of cloud-computing simulators into behavioral directions that reveal degraded performance and system collapse. Such a method could serve as a design tool, empowering system engineers"
}
],
"translation_state": "none"
}