Inverse problem of aircraft structural parameter identification: Application of genetic algorithms compared with artificial neural networks

Inverse Problems in Science and Engineering

Volumn 14, Issue 4, 2006, Pages 337-350

  Trivailo, P M ^a   Gilbert, T ^a   Glessich, E ^a   Sgarioto, D ^a  

^a NONE

Author keywords

Aircraft structures; Finite elements; Genetic algorithms; Parameter estimation

Indexed keywords

EID: 33745607298     PISSN: 17415977     EISSN: 17415985     Source Type: Journal    
DOI: 10.1080/17415970600573338     Document Type: Conference Paper

References (11)

1. Dunn, S.A., 1996, The use of genetic algorithms in dynamic finite element model identification for aerospace structures, presented at the 20th Congress of the International Council of the Aeronautical Sciences, Reston, Virginia, USA.
2. Goldberg, D., 1989, Genetic Algorithms in Search, Optimization and Machine Learning (Reading, MA: Addison-Wesley, Reading).
3. Holland, J.H., 1992, Genetic algorithms. Scientific America, 267, 44-50.
4. Forrest, S., 1993, Genetic algorithms: principles of natural selection applied to computation. Science, 261, 872-878.
5. Dunn, S.A., 1997, Modified genetic algorithm for the identification of aircraft structures. Journal of Aircraft, 34(2), 251-253.
6. Dunn, S.A., 1998. Optimisation of the structural dynamic finite element model for a complete aircraft, presented at the 21st Congress of the International Council of the Aeronautical Sciences, Melbourne, Victoria, Australia, 13-18 September.
7. Dunn, S.A., 1998, The use of genetic algorithms and stochastic hill-climbing in dynamic finite element model identification. Computers & Structures, 66(4), 489-497.
8. Dunn, S.A., 1999, Technique for unique optimisation of dynamic finite element models. Journal of Aircraft, 36(6), 919-925.
9. Houck, C., Joines, J. and Kay, M., 1995, A Genetic Algorithm for Function Optimization: A MATLAB Implementation (North Carolina: North Carolina State University).
10. Trivailo, P.M., Dulikravich, G.S., Sgarioto, D. and Gilbert, T., 2004. Inverse problem of aircraft structural estimation: application of neural networks. Presented at the Inverse Problems, Design and Optimization Symposium, Rio de Janeiro, Brazil, 17-19 March 2004.
11. Haykin, S.S., 1999, Neural Networks: A Comprehensive Foundation (New Jersey: Prentice Hall).