Efficient Design Optimization Assisted by Sequential Surrogate Models
The paper proposes a global optimization algorithm employing surrogate modeling and adaptive infill criteria. The surrogates are exploited to screen the design space and provide lower-fidelity predictions across it; on the other hand, specific criteria are designed to suggest new points for high-fid...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2019-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/4937261 |