Journal
ENGINEERING OPTIMIZATION
Volume 47, Issue 6, Pages 719-736Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2014.918114
Keywords
nested design of experiments; variable fidelity; least square support vector regression; metamodel
Funding
- National Natural Science Foundation of China [51175199, 61232008]
- National Basic Research Program (973 Program) of China [2014CB046703]
- Huazhong University of Science and Technology Innovation Fund [2011TS068]
Ask authors/readers for more resources
Engineering design, especially for complex engineering systems, is usually a time-consuming process involving computation-intensive computer-based simulation and analysis methods. A difference mapping method using least square support vector regression is developed in this work, as a special metamodelling methodology that includes variable-fidelity data, to replace the computationally expensive computer codes. A general difference mapping framework is proposed where a surrogate base is first created, then the approximation is gained by a mapping the difference between the base and the real high-fidelity response surface. The least square support vector regression is adopted to accomplish the mapping. Two different sampling strategies, nested and non-nested design of experiments, are conducted to explore their respective effects on modelling accuracy. Different sample sizes and three approximation performance measures of accuracy are considered.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available