Abstract
An evolutionary optimisation method for Multidisciplinary Design Optimisation (MDO) and aircraft systems design is presented. The method uses a hierarchical topology of analysis tools coupled to a robust parallel evolutionary optimiser. The methodology is applicable to complex engineering problems which are multi-modal, involve approximations, are non differentiable or involve multiple objectives. The paper describes implementation and results for experiments on mathematical test functions, multi-objective and MDO problems in aeronautics. Results indicate that the method is robust and efficient on its application for real world engineering problems.
| Original language | English |
|---|---|
| Title of host publication | Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference |
| Place of Publication | Albany, New York |
| Publisher | American Institute of Aeronautics and Astronautics |
| Pages | 3610-3624 |
| Number of pages | 15 |
| Volume | 6 |
| ISBN (Print) | 1563477165 |
| Publication status | Published - 2004 |
| Event | Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Albany, NY, United States Duration: 30 Aug 2004 → 1 Sept 2004 |
Other
| Other | Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference |
|---|---|
| Country/Territory | United States |
| City | Albany, NY |
| Period | 30/08/04 → 1/09/04 |
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