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Coupling hybrid-game strategies with particle swarm optimisation for multi-objective high lift systems design optimisation

Lee, D-S. , Periaux, J. , Gonzalez, L.F., & Onate, E. (2011) Coupling hybrid-game strategies with particle swarm optimisation for multi-objective high lift systems design optimisation. In Papadrakakis, M., Onate, E., & Schrefler, B. (Eds.) Proceedings of the IV International Conference on Computational Methods for Coupled Problems in Science and Engineering, International Center for Numerical Methods in Engineering (CIMNE), Kos International Convention Centre, Kos Island, Greece.

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    Abstract

    This paper investigates the High Lift System (HLS) application of complex aerodynamic design problem using Particle Swarm Optimisation (PSO) coupled to Game strategies. Two types of optimization methods are used; the first method is a standard PSO based on Pareto dominance and the second method hybridises PSO with a well-known Nash Game strategies named Hybrid-PSO. 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 PSO and Hybrid-PSO are compared. The numerical results for the multi-objective HLS design optimisation clearly shows the benefits of hybridising a PSO 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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    ID Code: 46358
    Item Type: Conference Paper
    Additional URLs:
    Keywords: Hybrid-game Strategies, PSO, High Lift Systems Design, Optimisation, Multi-objective
    ISBN: 9788487867590
    Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Autonomous Vehicles (091303)
    Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
    Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2011 The Authors.
    Deposited On: 12 Oct 2011 07:58
    Last Modified: 13 Oct 2011 23:54

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