Multidisciplinary aircraft design and optimisation using a robust evolutionary technique with variable fidelity models

Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn 6, Issue , 2004, Pages 3610-3624

  Gonzalez L F ^a   Whitney, E J ^a   Srinivas, K ^a   Periaux, J ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b DASSAULT AVIATION   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER SIMULATION; COMPUTER SOFTWARE; PARALLEL PROCESSING SYSTEMS; PERSONAL COMPUTERS; PRODUCT DESIGN; UNMANNED VEHICLES;

MULTIDISCIPLINARY AIRCRAFT DESIGN; MULTIDISCIPLINARY DESIGN OPTIMIZATION (MDO); PARALLEL EVOLUTIONARY OPTIMIZERS; UNMANNED AERIAL VEHICLES;

AIRCRAFT;

EID: 20344385265     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2004-4625     Document Type: Conference Paper

References (28)

1. Sobieszczanski-Sobieski, J. and Haftka, R. T., "Multidisciplinary Aerospace Design Optimization Survey of Recent Developments," Tech. Rep. 96-0711, NASA/American Institute of Aeronotics and Astronautics, 1996.
2. Giesing, J. P. and Barthelem, J. F., "A Summary of Industry MDO Applications and Needs," AIAA Paper 98-4737, Sept. 1998.
3. Thomas, Z. and Green, A., "Multidisciplinary Design Optimization Techniques: Implications and Opportunities for Fluid Dynamics Research," AIAA Paper 1999-3798, June 1999.
4. Parmee, I. and Watson, A. H., "Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms," Proceedings of the Genetic and Evolutionary Computation Conference, edited by W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, Vol. 2, Morgan Kaufmann, Orlando, Florida, USA, 1999, pp. 1657-1665.
5. Raymer, D., "Use of Genetic and Evolutionary Algorithms for Aircraft Conceptual Design Optimization," AIAA Paper 2003-0552, AIAA Aerospace Sciences Meeting, Reno, NV, 2003.
6. Obayashi, S., "Multidisciplinary Design Optimization of Aircraft Wing Planform Based on Evolutionary Algorithms," Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, IEEE, La Jolla, California, 1998, pp. 3148-3153.
7. Oyama, A., Liou, M., and Obayashi, S., "Transonic axial-flow blade Shape Optimization Using Evolutionary Algorithm and Three-Dimensional Navier- Stoke Solver," AIAA Paper 2002-5642, April 2002.
8. Mäkinen, R., Neittaanmäki, P., Pénaux, J., and Toivanen, J., "A Genetic Algorithm for Multiobjective Design Op timization in Aerodynamics and Electromagnetics," Computational Fluid Dynamics '98, Proceedings of the ECCOMAS 98 Conference, edited by K. D. P. et al., Vol. 2, Wiley, Athens, Greece, 1998, pp. 418-422.
9. Chung, H.-S., Choi, S., and Alonso, J. J., "Supersonic Business Jet Design using a Knowledge-Based Genetic Algorithm with an Adaptive, Unstructured Grid Methodology," 21st AIAA Applied Aerodynamics Conference, Orlando, Florida, June 2003, AIAA Paper AIAA-2003-3791.
10. Alexandrov, N. M. and Lewis, R. M., "Analytical and Computational Properties of Distributed Approaches to MDO," AIAA Journal, Vol. 40, No. 2, 2002, pp. 301-309.
11. Braum, R., Gage, P., Kroo, I., and Sobieski, I., "Implementation and Performance Issues in C.O," NASA-AIAA-96-4017, 1996.
12. Bartholomew, P., "The Role of MDO within Aerospace Design and Progress towards an MDO Capability," AIAA-98-4705, pp 2157-2165, 7th AIAA/USAF/NASA/ ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA, St. Louis, Mo, 1998.
13. Jameson, A. and Vassberg, J. C., "Computational Fluid Dynamics for Aerodynamic Design: Its Current and Future Impact," AIAA paper 2001-0538, Jan. 2001.
14. Kroo, I., Altus, S., Braun, R., Gage, P., and Sobieski, I., "Multidisciplinary Optimization Methods for Aircraft Preliminary Design," AIAA 94-4325, Fifth AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, September 7-9, Panama City, Florida, 1994.
15. Raymer, D., Enhancing Aircraft Conceptual Design using Multidisciplinary Optimization, Department of Aeronautics, FLYG 2002-2, 2002.
16. Alexandrov, N. M., Lewis, R. M., Gumbert, C. R., Green, L. L., Newman, and A., P., "Optimization with Variable-Fidelity Models Applied to Wing Design," Tr-99-49, 1999.
17. Martins, J., Alonso, J. J., and Reuther, J., "High-Fidelity Aero-Structural Design Optimization of a Supersonic Business Jet," AIAA Paper 2002-1483, April 2002.
18. Deb, K., Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, 2003.
19. Pareto, V., Cours d'Economie Politique, Rouge, Lausanne, Switzerland, 1896.
20. Whitney, E. J., A Modern Evolutionary Technique for Design and Optimisation in Aeronautics, Ph.D. thesis, The University of Sydney, 2003.
21. Wakunda, J. and Zell, A., "Median-Selection for Parallel Steady-State Evolution Strategies," Parallel Problem Solving from Nature - PPSN VI, edited by M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo, and H.-P. Schwefel, Springer, Berlin, 2000, pp. 405-414.
22. Goldberg, D., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
23. Sefrioui, M. and Périaux, J., "A Hierarchical Genetic Algorithm Using Multiple Models for Optimization," Parallel Problem Solving from Nature, PPSN VI, edited by M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. Merelo, and H.-P. Schwefel, Springer, 2000, pp. 879-888.
24. Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Manchek, R., and Sunderam, V., PVM: Parallel Virtual Machine. A Users' Guide and Tutorial for Networked Parallel Computing, Massachusetts Institute of Technology, 1994.
25. McCullers, A., "FLOPS User's Guide, Release 6.02, NASA Langley Research Center," March 2003.
26. Lamar, J. E. and Herbert, H., "Production Version of the Extended NASA-Langley Vortex Lattice FORTRAN Computer Code - Volume I - User's Guide, NASA TM 83303," April 1982.
27. Drela, M., XFOIL 6.94 User Guide, MIT Aero Astro, 2001.
28. "X-PLANE V7 by Laminar Research.".