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Título:
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Multi-objective high lift systems design optimisation using hybridised evolutionary algorithm with Nash-game
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Autor/a:
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Lee, Dong Seop; Periaux, Jacques Francis; Bugeda Castelltort, Gabriel; Oñate Ibáñez de Navarra, Eugenio
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. DECA - Grup de Recerca del Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria |
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Abstract:
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This paper investigates the High Lift System (HLS) application of complex aerodynamic design problem using Genetic Algorithms (GAs) coupled to Game strategies. Two types of optimization methods are used; the first method is a standard GA based on Pareto dominance and the second method hybridises GA with a wellknown Nash Game strategies named Hybrid-GA. These optimization techniques are coupled to a pre/post processor GiD providing unstructured meshes during the optimisation procedure and a transonic analysis software PUMI. The computational efficiency and quality design obtained by GA and Hybrid-GA are compared. The numerical results for the multi-objective HLS design optimisation clearly shows the benefits of hybridising a GA with the Nash game and makes promising the above methodology for solving other more complex multi-physics optimisation problems in Aeronautics. |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
-Multidisciplinary design optimization--Mathematics
-Multi-objective Design Optimisation
-Computational Intelligence System
(CIS)
-Genetic Algorithm
-Game Strategies
-Pareto-Game
-Nash-Game
-High Lift
Systems (HLS)
-Optimització matemàtica |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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