The efficient multi-objective design of air-vehicle configurations using ModelCenter

Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Volumn 1, Issue , 2006, Pages 526-536

  Leary, Stephen J ^a   Birtwell, Philip M ^a   Holden, Harriet ^a   Johnson, Graham A ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT MODELS; ALGORITHMS; COMPUTER AIDED SOFTWARE ENGINEERING; OPTIMIZATION; PRODUCT DESIGN; RANDOM PROCESSES;

BAE SYSTEMS (CO); INTEGRATION TOOLS; OPTIMISATION ALGORITHMS; RESPONSE SURFACE METHODS;

AEROSPACE VEHICLES;

EID: 33846535443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Keane, A. J. and Nair P. B., Computational Approaches for Aerospace Design: The Pursuit of Excellence, John Wiley and Sons, 2005.
2. ModelCenter, http://www.phoenix-int.com
3. http://www.phoenix-int.com/products/POP.php
4. McDougall, S., Press, A. J., Barratt, P. S, NUFA: A Semi-Empirical Method for the Prediction of Isolated Weapon Aerodynamics, AGARD CP-493, Paper 9, Ankara, Turkey, Oct. 1990.
5. Nelder, J. A. and Mead, R., 'A simplex method for function minimisation', The Computer Journal, Vol. 7, pp. 308-313, 1965.
6. Kelley, C. T., Iterative Methods for Optimization, Vol. 18, Frontiers in Applied Mathematics, Society of Industrial and Applied Mathematics, Philadelphia, 1999.
7. nd Turkish Symposium on AI and ANN, pp. 254-260, 1993.
8. Vanderplaats, G. N., An efficient feasible directions algorithm for design synthesis, AIAA Journal, Vol. 22, No. 11, pp. 1633-1640, November 1984.
9. Nocedal, J. and Wright, S. J., Numerical Optimization, Springer Series in Operations Research, Springer-Verlag, New York, 1999.
10. Goffe, W. L., Ferrier, G. D. and Rogers, J., 'Global optimization of statistical functions with simulated annealing', Journal of Econometrics, Vol. 60, pp.65-99, 1994.
11. Goldberg, D., 'Genetic Algorithms in Search, Optimization and Machine Learning', Addison Wesley, January 1989
12. Knowles, J. and Corne, D., The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation. In 1999 Congress on Evolutionary Computation, Washington D.C., IEEE Service Centre, 98-105, 1999
13. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. A., Fast and Elitist Multi-Objective Genetic Algorithm-NSGA-II. KanGAL Report Number 2000001, http://www.iitk.ac.in/kangal/papers/tech2000001.ps.gz, 2000.
14. Montgomery, D. C., Design and Analysis of Experiments, John Wiley and Sons, 2001.
15. Sobol, I. M., On the Systematic Search in a Hypercube, SIAM Journal of Numerical Analysis, Vol. 16, pp. 790-793, 1979
16. Morris, M. D. and Mitchell, T. J., Exploratory Designs for Computer Experiments, Journal of Statistical Planning and Inference, Vol. 43, pp. 381-402, 1995.
17. Jones, D. R., Schonlau, M. and Welch, W. J., Efficient Global Optimization of Expensive Black-box Functions, Journal of Global Optimization, Vol. 13, 455-492, 1998
18. Sobester, A., Leary, S. J. and Keane, A. J., "A Parallel Updating Scheme for Approximating and Optimizing High-Fidelity Computer Simulations", Structural and Multidisciplinary Optimization, Vol. 27, pp. 371-383, 2004.
19. Keane, A. J., Statistical Improvement Criteria for use in Multi-objective Design Optimisation, AIAA Journal, to appear.
20. Siddall, J. N., Optimal Engineering Design: Principles and Applications, Marcel Dekker Inc., New York, 1982.
21. Sobester, A., Leary, S. J. and Keane, A. J., "On the Design of Optimization Strategies Based on Global Response Surface Approximation Models", Journal of Global Optimization Vol. 33 pp. 31-59, 2005.
22. MATLAB, http://www.mathworks.com