Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design
The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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2013-05.
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| Subjects: | |
| Online Access: | Get fulltext |
| LEADER | 00816 am a22001453u 4500 | ||
|---|---|---|---|
| 001 | 352697 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Xiao, Song |e author |
| 700 | 1 | 0 | |a Rotaru, M. |e author |
| 700 | 1 | 0 | |a Sykulski, J.K. |e author |
| 245 | 0 | 0 | |a Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design |
| 260 | |c 2013-05. | ||
| 856 | |z Get fulltext |u https://eprints.soton.ac.uk/352697/1/IEEEvol49no5May2013page2057.pdf | ||
| 520 | |a The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered. | ||
| 655 | 7 | |a Article | |