A robust and efficient probabilistic approach for challenging industrial applications with high-dimensional and non-monotonic design spaces

Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn 2, Issue , 2006, Pages 1211-1224

  Liping, Wang ^a   Beeson, Don ^b   Wiggs, Gene ^b  

^a GE GLOBAL RESEARCH   (United States)

^b GE AVIATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CUMULATIVE DISTRIBUTION FUNCTION (CDF); METAMODELS; PROBABILISTIC DESIGN; TRAINING POINTS;

INDUSTRIAL APPLICATIONS; INDUSTRIAL ENGINEERING; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

PRODUCT DESIGN;

EID: 33846632420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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