Evolutionary computation in optimization and identification

Authors

  • Tadeusz Burczyński Institute of Computer Modelling, Cracow University of Technology
    Poland
  • Witold Beluch Silesian University of Technology
    Poland
  • Adam Długosz Silesian University of Technology
    Poland
  • Wacław Kuś Silesian University of Technology
    Poland
  • Marek Nowakowski Silesian University of Technology
    Poland
  • Piotr Orantek Silesian University of Technology
    Poland

Keywords:

evolutionary algorithms, finite element method, boundary element method, optimization, identification

Abstract

The aim of the paper is to present the application of the evolutionary algorithms to selected optimization and identification problems of mechanical systems. The coupling of evolutionary algorithms with the finite element method and the boundary element method creates a new artificial intelligence technique that is very suitable in computer aided optimal design and defect detection. Several numerical examples for optimization and identification are presented.

References

[1] J. Arabas. Lectures on Evolutionary Algorithms. WNT, Warszawa, 2001.
[2] G. Beer, J.O. Watson. Introduction to Finite and Boundary Element Methods for Engineering. Wiley. Chichester, 1992.
[3] W. Beluch. Sensitivity Analysis and Evolutionary Optimization of Cracked Mechanical Structures (in Polish) . Ph.D.Thesis, Mechanical Engineering Faculty, Silesian University of Technology, Gliwice, 2000.
[4] W. Beluch. Crack identification using evolutionary algorithms. In: T . Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, 97- 100. Gliwice, 2000.
[5] T. Burczyński. Applications of BEM in sensitivity analysis and optimization. Computational Mechanics, 13: 29- 44, 1993.

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Published

2023-02-22

Issue

pp. 3-20

Section

Articles

How to Cite

Burczyński, T., Beluch, W., Długosz, A., Kuś, W., Nowakowski, M., & Orantek, P. (2023). Evolutionary computation in optimization and identification. Computer Assisted Methods in Engineering and Science, 9(1), 3-20. https://cames3.ippt.pan.pl/index.php/cames/article/view/1137