A new variable fidelity optimization framework based on model fusion and objective-oriented sequential sampling

2007 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007

Volumn 6 PART A, Issue , 2008, Pages 699-708

  Xiong, Ying ^a   Chen, Wei ^a   Tsui, Kwok Leung ^b  

^a Northwestern University   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian approach; Design confidence; Model fusion; Optimization; Sequential sampling; Surrogate model; Variable fidelity

Indexed keywords

BAYESIAN; COMPUTATIONAL BURDEN; COMPUTATIONAL MODELS; DESIGN AUTOMATION CONFERENCE (DAC); DESIGN CONFIDENCE; DESIGN DECISION-MAKING; DESIGN OBJECTIVES; ENGINEERING DESIGNS; GAUSSIAN PROCESS (GP); HIGH FIDELITY; HIGH-FIDELITY MODELING; HIGH-FIDELITY SIMULATIONS; INTERNATIONAL DESIGNS; MODEL FUSION; SEQUENTIAL SAMPLING; SPACE FILLING; STOPPING CRITERION; SURROGATE MODELING; TECHNICAL CONFERENCES; VARIABLE FIDELITY; VARIABLE FIDELITY OPTIMIZATION;

AEROSPACE APPLICATIONS; ARCHITECTURAL DESIGN; AUTOMATION; COMPUTATIONAL METHODS; COMPUTER AIDED DESIGN; COMPUTER NETWORKS; COMPUTERS; DECISION MAKING; DIESEL ENGINES; ENGINEERING; FUEL ADDITIVES; FUSION REACTIONS; GAUSSIAN DISTRIBUTION; INDUSTRIAL ENGINEERING; INTERPOLATION; MECHANIZATION; MODELS; NUCLEAR PHYSICS; NUMERICAL ANALYSIS; OPTIMIZATION; PROBLEM SOLVING; ROBOTICS; SAMPLING; TECHNOLOGY; VARIATIONAL TECHNIQUES;

COMPUTER SIMULATION;

EID: 44849129764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2007-35782     Document Type: Conference Paper

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