Optimisation of two variables function with linear inequalities constraints - Contraction of the feasible region
Shows how a hi-dimensional optimisation problem with linear inequalities constraints is converted into a global optimisation problem of one bounded variable function f*. Then, we reduce the feasible region f* before seeking its global optimum.
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| Veröffentlicht in: | Kybernetes 2000-12, Vol.29 (9/10), p.1272-1283 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
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| container_end_page | 1283 |
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| container_issue | 9/10 |
| container_start_page | 1272 |
| container_title | Kybernetes |
| container_volume | 29 |
| creator | Ammar, Hamadi Cherruault, Yves |
| description | Shows how a hi-dimensional optimisation problem with linear inequalities constraints is converted into a global optimisation problem of one bounded variable function f*. Then, we reduce the feasible region f* before seeking its global optimum. |
| doi_str_mv | 10.1108/03684920010346338 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0368-492X |
| ispartof | Kybernetes, 2000-12, Vol.29 (9/10), p.1272-1283 |
| issn | 0368-492X 1758-7883 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_28532259 |
| source | Emerald Journals |
| subjects | Bisection Cybernetics Global optimisation Optimization |
| title | Optimisation of two variables function with linear inequalities constraints - Contraction of the feasible region |
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