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Introduction to optimization and multidisciplinary design

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  • O. , PIRONNEAU - University of Paris VI, France: Optimal shape design: formulation, theoretical foundations and results
  • J., PERIAUX 1; , L.F. , GONZALEZ ; E.J. , WHITNEY ; K., SRINIVAS - CIMNE/UPC, Spain & INRIA Sophia OPALE Project Associate & 2The University of Sydney, Australia: MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: I: Theoretical background
  • J., PERIAUX 1; , L.F. , GONZALEZ ; E.J. , WHITNEY ; K., SRINIVAS - CIMNE/UPC, Spain & INRIA Sophia OPALE Project Associate & 2The University of Sydney, Australia: MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: II: Numerical aspects and implementation of model test cases
  • J., PERIAUX 1; , L.F. , GONZALEZ ; E.J. , WHITNEY ; K., SRINIVAS - CIMNE/UPC, Spain & INRIA Sophia OPALE Project Associate & 2The University of Sydney, Australia: MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: III: Practical application to the design and optimisation of UAV systems
  • M.M., RAI - NASA Ames Research Center, USA: Single- and multiple-objective optimization with differential evolution and neural networks
  • M.M., RAI - NASA Ames Research Center, USA: Towards robust designs via multiple-objective optimization methods
  • K.C., GIANNAKOGLOU & M.K. , KARAKASIS - National Technical University of Athens, Greece: Hierarchical and distributed metamodel-assisted evolutionary algorithms
  • V., PEDIRODA & C. , POLONI - Università di Trieste, Italy: Robust design, approximation methods and self organizing map
  • V., PEDIRODA & C. , POLONI - Università di Trieste, Italy: techniques for MDO problems
  • J.C. , VASSBERG & A., JAMESON - The Boeing Company & Stanford University, CA, USA: Aerodynamic Shape Optimization : Theoretical Background (I/II)
  • N.R. , GAUGER - DLR & Humboldt University Berlin, Germany: Adjoint approaches in aerodynamic shape optimization and MDO context
  • J.-A. , DESIDERI & A., DERVIEUX - INRIA, France: Hierarchical methods for shape optimization in aerodynamics I: Multilevel algorithms for parametric shape optimization
  • J.-A. , DESIDERI & A., DERVIEUX - INRIA, France: Hierarchical methods for shape optimization in aerodynamics II: Additive methods in aerodynamics
  • K.C. , GIANNAKOGLOU & D.I., PAPADIMITRIOU - National Technical University of Athens, Greece: Formulation and application of the continuous adjoint method in aerodynamics and turbomachinery
  • C., HIRSCH & A., LIGOUT - Vrije Universiteit Brussel & NUMECA Belgium, Belgium: Multidisciplinary optimization of turbomachinery components
  • V., SELMIN - Alenia Aeronautica S.p.A., Italy: Development and use of MDO systems for aeronautical applications
  • J.C. , VASSBERG & A., JAMESON - The Boeing Company & Stanford University, USA: Aerodynamic Shape Optimization: Sample applications (II/II)

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