Journal
INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS
Volume 11, Issue 4, Pages 305-315Publisher
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJCSM.2020.107600
Keywords
multi-criteria adaptive sequential sampling; global approximation; metamodel; radial basis function
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Funding
- National Natural Science Foundation of China [51565008]
- Natural Science Foundation of Guangxi [2017JJA160071z]
- Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology [1514030007K]
- Project of Liuzhou science research and technology development plan [2016B020203]
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A multi-criteria adaptive sequential sampling method is proposed for radial basis function metamodel and a new global approximation method is developed in this paper. In this new sampling method, objective, curvature and distance are considered as sampling criteria. With the three criteria, it guarantees that the entire domain will be covered by samples, and more sampling points will be gathered in the peak and valley regions, which is useful for enhance accuracy and efficiency of approximation model. Intensive testing shows that the efficiency of method and accuracy of metamodel are satisfactory by this new global approximation method.
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