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Optimization methods & tools for multi-criteria/multidisciplinary design. Applications to aeronautics and turbomachinery

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VKI LS 2004-07, Optimization methods & tools for multi-criteria/multidisciplinary design. Applications to aeronautics and turbomachinery, ISBN 2-930389-56-7

Optimization methods & tools for multi-criteria/multidisciplinar

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Optimization methods & tools for multi-criteria/multidisciplinary design. Applications to aeronautics and turbomachinery
November 15-19, 2004; H. Deconinck, J. Périaux, K. Giannakoglou
Table of content
  • KROO, I. - Stanford, USA:
    Distributed, multidisciplinary design and collaborative optimization
    Collectives and complex system design
    Aeronautical applications of evolutionary design
  • PIRONNEAU, O. - Univ. Pierre & Marie Curie, France:
    Well posed optimal shape design problems and optimality conditions
    Four approaches to the numerical solution of optimal shape design problems
  • GIANNAKOGLOU, K. - NTUA, Greece:
    Neural network assisted evolutionary algorithms for aeronautics and turbomachinery
    Coupling evolutionary algorithms, surrogate models and adjoint methods in inverse design and optimization problems
  • RAI, M. - NASA-Ames, USA:
    Multiple objective optimization with differential evolution and neural networks
    Towards robust  design via multiple objective optimization method
  • VAN DEN BRAEMBUSSCHE, R.A. - VKI, Belgium:
    Multidisciplinary optimization of turbomachinery components
  • DULIKRAVICH , G.S. - Florida International University, USA:
    Aero-thermal-elasticity-materials optimization of cooled gas turbine blades
  • PERIAUX, J.1 & WHITNEY, E.2 - 1Pole Scientifique Dassault Aviation/UPMC, France & 2Univ. of Sydney, Australia:
    Practical aerodynamic design for UAVs using multicriteria evolutionary algorithms
  • WILD, J. - DLR Braunschweig, Germany:
    Multi objective constrained optimization and high lift device applications
  • KNIGHT, D. - Rutgers University, USA:
    Multicriteria design optimization for missile air intakes
  • SHAHPAR, S. - Rolls-Royce, U.K.:
    Automatic aerodynamic design optimisation of turbomachinery components
    Design of experiment, screening and response surface modelling to minimise the design cycle time
  • POLONI, C. - Univ. of Trieste, Italy:
    Robust design of aircraft and turbomachinery components: a multi-objective optimisation problem
  • SASAKI, S.1 & OBAYASHI, S.2 - 1University of Southampton, UK & 2Tohoku University, Japan:
    Adaptive range multi-objective genetic algorithms and self-organizing map for multi-objective optimization problem

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Manufacturer von Karman Institute for Fluid Dynamics

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