| Autor: |
Evin J. Cramer, Laura Lurati, Paul S. Sellers, J. M. Gablonsky, Joseph P. Simonis |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. |
| DOI: |
10.2514/6.2012-5603 |
| Popis: |
Solving multi-objective optimization problems that involve computationally expensive functions is a normal part of many engineering applications. Runtime issues are magnied when one moves from a single discipline to multiple disciplines in a multidisciplinary design optimization setting. The tools selected to perform a design space exploration within this setting must be chosen with care. Normal-Boundary Intersection (NBI) is a robust general purpose multi-objective optimization method for design problems. In the setting of computationally expensive functions, running NBI directly using the simulation requires a prohibitive amount of computational cost. Alternatively, running on a surrogate model approximation to the simulation fails to produce suciently accurate solutions. Our approach combines the use of models and simulations in a way similar to the general surrogate management framework by iteratively using both the models and the simulations. While this approach can be executed with the push of a button, it is best used, especially at the beginning of a new problem, as one step in a larger design space exploration process. The process includes the design, execution and analysis of computer experiments, surrogate model development, single objective optimization and problem renement. This paper outlines the surrogate model management framework approach to solving multi-objective optimization problems within the context of a general design exploration process. The importance of the use of data visualization techniques will be highlighted in the discussion. We conclude with a representative aircraft design problem from the aerospace industry. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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