26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-2.3.4

AN AERODYNAMIC OPTIMIZATION FRAMEWORK BASED ON GENETIC ALGORITHMS

A. P. Antunes, R. G. da Silva, J. L. F. Azevedo*
Univ. of São Paulo, Brazil; *CTA/IAE/ALA, Brazil

Keywords: Aerodynamic Design, Optimization Framework, Genetic Algorithm, MDO

The paper describes the efforts on the construction of a computational framework to provide 2-D and 3-D external aerodynamic optimizations. The framework uses genetic algorithms as optimization tools and different CFD codes to provide the aerodynamic analysis capability. Several applications that illustrate the framework use are presented in the paper.

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