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Evolutionary computation in optimization and identification

Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
3--20
Opis fizyczny
Bibliogr. 27, rys., tab., wykr.
Twórcy
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
  • Instytute of Computer Modelling, Cracow University of Technology, ul. Wraszawska 24, 31-155 Kraków, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] J. Arabas. Lectures on Evolutionary Algorithms. WNT, Warszawa, 2001.
  • [2] G. Beer, J.0. Watson. Introduciton 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. Burczyńska. Applications of BEM in sensitivity analysis and optimization. Computational Mechanics, 13: 29-44, 1993.
  • [6] T. Burczyński. Recent advances in boundary element approach to design sensitivity analysis — survey. In: M. Kleiber, T. Hisada, eds., Design Sensitivity Analysis, Chapter 1. Atlanta Technology Publications, Atlanta, 1993.
  • [7] T. Burczyński. The Boundary Element Method in Mechanics (in Polish). WNT, Warszwa, 1995.
  • [8] T. Burczyński, W. Beluch, G. Kokot. Optimization of cracked structures using boundary elements and evolutionary computation. In: M.H. Aliabadi, ed., Boundary Element Techniques, 437-444. London, 1999.
  • [9] T. Burczyński, W. Beluch, A. Długosz, G. Kokot, W. Kuś, M. Nowakowski, P. Orantek. Evolutionary BEM computation in shape optimization. In: T. Burczyński, ed., Advanced Mathematical and Computational Mechanics Aspects of the Boundary Element Method, 37-49. Kluwer Academic Publishers, Dordrecht, 2001.
  • [10] T Burczyński, A. Długosz. Application of the boundary element method a evolutionary optimization of thermoelastic systems. Proc. XXXIX Symp. Modelling in Mechanics. Wisła, 53-54. 2000
  • [11] T Burczyński, A. Długosz. Evolutionary optimization of thermoelastic problems using the boundary element method. Proc. IABEM Symposium, Brescia, Italy, 47-50, 2000.
  • [12] T Burczyński, J.H. Kane, C Balakrishna. Comparison of shape design sensivity analysis via material derivative-adjoint variable and implicity differentiation techniuques for 3-D and 2-D curved boundary elements. Computer Methods n Applied Mechanics and Engineering, 142: 89-109, 1997.
  • [13] T. Burczyński, G. Kokot. The evolutionary optimization using genetic algorithms and boundary elements. Proc. 3rd World Congress and Strustural and Multidisciplinary Optimization, Buffalo, New York. USA, 87-89, 1999.
  • [14] T. Burczyński, W Kuś. Shape optimisation of elastopiastic solids using evolutionary algorthm. Proc. XXXIX Symp. Modelling in Mechanics, Wisła, 55-56, 2000.
  • [15] T. Burczyński, W Kuś. Application of distributed evolutionary algorithms in the shape optimization of elastoplastic structures. Proc. 5th Conference on Evolutionary Algorithms and Global Optimization. Jastrzębia Góra, 40-47, 2001.
  • [16] T. Burczyński, W. Kuś, P. Orantek. Optimization of plane truss structures using evolutionary algorithm. Proc. XXXIX Symp. Modelling in Mechanics, Wisła, 57 68, 2000
  • [17] T. Burczyński, P. Orantek. Evolutionary approach to topology optimization of strurtures. Proc. 5th Conference on Evolutionary Algorithms and Global Optimization. Jastrzębia Góra, 56-63, 2001.
  • [18] A. Długosz, T. Burczyński. Evolutionary optimization in thermoelastic problem using the boundary element method. In: T. Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical in Engineering, 145-150. Gliwice, 2000.
  • [19] E. Kita, H. Tani. Shape optimization of continuurn structurea by genetu algorithm and Łoundary ciemez method. Engineering Analysis with Boundary Elements, 10, 1977
  • [20] M. Kleiber, ed. Handbook of Computational Solid Mechanics. Springer, 1998
  • [21] G. Kokot. The Evolutionary Optimization of Elastic Mechanical Structures Using Boundary Element Method (in Polish). Ph.D. Thesis, Mechanical Engineering Faculty, Silesian University of Technology, Gliwice. 1998
  • [22] G. Kokot. The generalized shape optimization using genetic algorithms and boundary elements. In: T Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical Engineering 197-201. Gliwice 2000.
  • [23] W. Kuś, T. Burczyński. Evolutionary optimization of elasto-plastic solids In: T Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical Engineering 213-218. Gliwice 2000.
  • [24] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. Spnnger-Verlag. AI Series, New York, 1992.
  • [25] M. Nowakowski. T. Burczyński. Evolutionary identification of internal defects in mechanical systems under dynamical loads. In: T. Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, 235-240. Gliwice, 2000.
  • [26] P. Orantek, T. Burczyński. Hybrid evolutionary algorithms aided by sensivity information in identification and structural optimization. In: T. Burczyński, W. Cholewa, eds., Methods of Artificial Intelligence in Mechanics and Mechanical Engineering. Gliwice, 2000.
  • [27] M. Szczepanik, W. Kuś, T. Burczyński. Evolutionary optimization of 2-D structures. In: T. Burczyński, W. Cholewa, eds., Methods od Artificial Intelligence in Mechanics and Mechanical Engineering, 325-330. Gliwice, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0006-0050
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