Methods in multi-source data-driven transfer optimization
In the global optimization literature, traditional optimization algorithms typically start their search process from scratch while facing a new problem of practical interest. That is to say, their problem-solving capabilities do not grow along with accumulated experiences or solved problems. Under t...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2020
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/136964 |
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| 機構: | Nanyang Technological University |
| 語言: | English |