Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual Nash strategies in a CFD design environment
Data(s) |
07/01/2008
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Resumo |
This paper compares the performances of two different optimisation techniques for solving inverse problems; the first one deals with the Hierarchical Asynchronous Parallel Evolutionary Algorithms software (HAPEA) and the second is implemented with a game strategy named Nash-EA. The HAPEA software is based on a hierarchical topology and asynchronous parallel computation. The Nash-EA methodology is introduced as a distributed virtual game and consists of splitting the wing design variables - aerofoil sections - supervised by players optimising their own strategy. The HAPEA and Nash-EA software methodologies are applied to a single objective aerodynamic ONERA M6 wing reconstruction. Numerical results from the two approaches are compared in terms of the quality of model and computational expense and demonstrate the superiority of the distributed Nash-EA methodology in a parallel environment for a similar design quality. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/29344/1/JCompandappliedmath.pdf DOI:10.1016/j.cam.2008.10.037 Periaux, Jacques, Lee, Dong Seop, & Gonzalez, Luis Felipe (2008) Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual Nash strategies in a CFD design environment. Journal of Computational and Applied Mathematics, 232(1), pp. 61-71. |
Direitos |
Copyright 2008 Elsevier. |
Fonte |
Australian Research Centre for Aerospace Automation; Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #090106 Flight Dynamics #090104 Aircraft Performance and Flight Control Systems #nash strategies #CFD #Multidisciplinary Optimisaiton |
Tipo |
Journal Article |