A heuristic for including black box analysis tools into a geometric programming formulation
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/112465 |
| _version_ | 1826210594699608064 |
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| author | Karcher, Cody Jacob |
| author2 | Warren W. Hoburg. |
| author_facet | Warren W. Hoburg. Karcher, Cody Jacob |
| author_sort | Karcher, Cody Jacob |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017. |
| first_indexed | 2024-09-23T14:52:07Z |
| format | Thesis |
| id | mit-1721.1/112465 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:52:07Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1124652019-04-12T23:13:07Z A heuristic for including black box analysis tools into a geometric programming formulation Karcher, Cody Jacob Warren W. Hoburg. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 79-82). Recently, geometric programming has been proposed as a powerful tool for enhancing aircraft conceptual design. While geometric programming has shown promise in early studies, current formulations preclude the designer from using black box analysis codes which are prolific in the aircraft design community. Previous work has shown the ability to fit data from these black box codes prior to the optimization run, however, this is often a time consuming and computationally expensive process that does not scale well to higher dimensional black boxes. Based upon existing iterative optimization methods, we propose a heuristic for including black box analysis codes in a geometric programming framework by utilizing sequential geometric programming (SGP). We demonstrate a heuristic SGP method and apply it to a solar powered aircraft using a black boxed GP compatible profile drag function. Using this heuristic algorithm, we achieve less than a 1% difference in the objective function between a direct implementation of the constraint and a black box implementation of the constraint. by Cody Jacob Karcher. S.M. 2017-12-05T19:14:02Z 2017-12-05T19:14:02Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112465 1011035717 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 112 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Karcher, Cody Jacob A heuristic for including black box analysis tools into a geometric programming formulation |
| title | A heuristic for including black box analysis tools into a geometric programming formulation |
| title_full | A heuristic for including black box analysis tools into a geometric programming formulation |
| title_fullStr | A heuristic for including black box analysis tools into a geometric programming formulation |
| title_full_unstemmed | A heuristic for including black box analysis tools into a geometric programming formulation |
| title_short | A heuristic for including black box analysis tools into a geometric programming formulation |
| title_sort | heuristic for including black box analysis tools into a geometric programming formulation |
| topic | Aeronautics and Astronautics. |
| url | http://hdl.handle.net/1721.1/112465 |
| work_keys_str_mv | AT karchercodyjacob aheuristicforincludingblackboxanalysistoolsintoageometricprogrammingformulation AT karchercodyjacob heuristicforincludingblackboxanalysistoolsintoageometricprogrammingformulation |