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Original Articles

A surrogate assisted evolutionary optimization method with application to the transonic airfoil design

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Pages 497-515 | Received 04 Feb 2009, Published online: 08 Apr 2010

References

  • Buche , D. , Schraudolph , N. and Koumoutsakos , P. 2004 . Accelerating evolutionary algorithms with Gaussian process fitness function models . IEEE Transactions on Systems, Man and Cybernetics , 35 ( 2 ) : 183 – 194 . Part C
  • Chung , H. S. and Alonso , J. J. Comparison of approximation models with merit functions for design optimization . 8th AIAA/USAF/NASA/ISSMO symposium on multidisciplinary analysis and optimization . September , Long Beach, CA. Reston, VA : American Institute of Aeronautics and Astronautics .
  • Deb , K. 2001 . Multi-objective optimization using evolutionary algorithms , Chichester, , UK : John Wiley & Sons .
  • Foster , N. and Dulikravich , G. 1997 . Three dimensional aerodynamic shape optimization using genetic and gradient search algorithms . AIAA Journal , 34 ( 1 ) : 36 – 42 .
  • Giannakoglou , K. C. , Papadimitriou , D. I. and Kampolis , I. C. 2006a . Aerodynamic shape design using evolutionary algorithms and new gradient-assisted metamodels . Computer Methods in Applied Mechanics and Engineering , 195 : 6312 – 6329 .
  • Giannakoglou , K. C. , Karakasis , M. and Kampolis , I. C. Evolutionary algorithms with surrogate modelling for computationally expensive optimization problems . ERCOFTAC conference on design optimization: Methods and application . April , Spain. pp. 85 – 96 . University of Las Palmas de Gran Canaria .
  • Goldberg , D. E. 1989 . Genetic algorithm in search, optimization and machine learning , Massachusetts : Addison-Wesley .
  • Hertz , J. , Krogh , A. and Palmer , R. 1991 . Introduction to the theory of neural computation , Reading, MA : Addison-Wesley Publishing Company .
  • Husken , M. , Jin , Y. and Sendhoff , B. 2005 . Structure optimization of neural network for evolutionary design optimization . Journal of Soft Computing , 9 ( 1 ) : 21 – 28 .
  • Jahangirian , A. and Johnston , L. J. Automatic generation of adaptive unstructured grids for viscous flow applications . 5th international conference on numerical grid generation in CFD . April . pp. 219 – 228 . Mississippi State University .
  • Jahangirian , A. and Hadidoolabi , M. 2005 . Unstructured moving grids for implicit calculation of unsteady compressible viscous flows . International Journal for Numerical Methods in Fluids , 47 ( 10/11 ) : 1107 – 1113 .
  • Jin , Y. , Olhofer , M. and Sendhoff , B. Managing approximate models in evolutionary aerodynamic design optimization . Proceedings of the IEEE Congress on Evolutionary Computation . May , Seoul, Korea. pp. 592 – 599 .
  • Jin , Y. 2003 . A comprehensive survey of fitness approximation in evolutionary computation . Soft Computing Journal , 9 ( 1 ) : 3 – 12 .
  • Jouhaud , J. C. , Sagaut , P. , Montagnac , M. and Laurenceau , J. 2007 . A surrogate based multidisciplinary shape optimization method with application to a 2D subsonic airfoil . Journal of Computer and Fluid , 36 : 520 – 529 .
  • Karakasis , M. K. and Giannakoglou , K. C. 2006 . On the use of metamodel-assisted, multi-objective evolutionary algorithm . Journal of Engineering Optimization , 38 ( 8 ) : 941 – 957 .
  • Launder , B. E. and Spalding , D. B. 1974 . The numerical computation of turbulent flow . Computer Methods in Applied Mechanics and Engineering , 3 : 269 – 289 .
  • Marco , N. and Lanteri , S. 2000 . A two-level parallelization strategy for genetic algorithm applied to optimum shape design . Parallel Computing , 26 : 377 – 397 .
  • Oyama , A. , Obayashi , Sh. and Nakahashi , K. 2001 . Real-coded adaptive range genetic algorithm applied to transonic wing optimization . Journal of Applied Computing , 1 ( 3 ) : 179 – 187 .
  • Quagliarella , D. and Cioppa , A. D. 1995 . Genetic algorithm applied to the aerodynamic design of transonic airfoils . Journal of Aircraft , 32 ( 4 ) : 889 – 891 .
  • Ray , T. and Smith , W. 2006 . A surrogate assisted parallel multi objective evolutionary algorithm for robust engineering design . Journal of Engineering Optimization , 38 ( 8 ) : 997 – 1011 .
  • Sasaki , D. , Obayashi , Sh. and Nakahashi , K. 2002 . Navier-Stokes optimization of supersonic wings with four objectives using evolutionary algorithm . Journal of Aircraft , 39 ( 4 ) : 621 – 629 .
  • Shahrokhi , A. and Jahangirian , A. 2007 . Airfoil shape parameterization for optimum Navier-Stokes design with genetic algorithm . Aerospace Science and Technology , 11 ( 6 ) : 443 – 450 .
  • Wang , J. F. , Periaux , J. and Sefrioui , M. 2002 . Parallel evolutionary algorithms for optimization problems in aerospace engineering . Journal of Computational and Applied Mathematics , 149 : 155 – 169 .

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