On numerical methods for black-box constrained global optimization
Black-box global optimization problems subject to nonlinear constraints are considered in this contribution. To address these challenging problems, it is suggested to use the index scheme (introduced by R.G. Strongin for univariate constrained op-timization) with the dimensionality reduction techniq...
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Published in | AIP conference proceedings Vol. 3094; no. 1 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
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Melville
American Institute of Physics
07.06.2024
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Abstract | Black-box global optimization problems subject to nonlinear constraints are considered in this contribution. To address these challenging problems, it is suggested to use the index scheme (introduced by R.G. Strongin for univariate constrained op-timization) with the dimensionality reduction techniques (as, for example, space-filling or diagonal curves). In particular, it is discussed how the index scheme can be implemented in the framework of ‘Divide-the-Best’ diagonal approach. |
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AbstractList | Black-box global optimization problems subject to nonlinear constraints are considered in this contribution. To address these challenging problems, it is suggested to use the index scheme (introduced by R.G. Strongin for univariate constrained op-timization) with the dimensionality reduction techniques (as, for example, space-filling or diagonal curves). In particular, it is discussed how the index scheme can be implemented in the framework of ‘Divide-the-Best’ diagonal approach. |
Author | Grishagin, Vladimir A. Kvasov, Dmitri E. |
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Editor | Tsitouras, Charalambos Simos, Theodore |
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Title | On numerical methods for black-box constrained global optimization |
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