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Parallel evolutionary algorithms in shape optimization of heat exchangers under thermomechanical loading

Identyfikatory
Warianty tytułu
Konferencja
Evolutionary Computation and Global Optimization 2006 / National Conference (9 ; 31.05-2.06.2006 ; Murzasichle, Poland)
Języki publikacji
EN
Abstrakty
EN
The paper is devoted to the shape optimization of the heat exchangers under thermomechanical loading. To solve the problem the evolutionary algorithm is used as the optimization technique. The fitness function is computed by means of the FEM commercial software - MSC MARC/MENTAT. In order to reduce the number of design parameters in evolutionary algorithms the shape of the structure is modelled by Bezier curves. Numerical examples for some shape optimization are included.
Rocznik
Tom
Strony
97--105
Opis fizyczny
Bibliogr. 14 poz., tab., rys., wykr.
Twórcy
autor
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Adam.Dlugosz@polsl.pl
Bibliografia
  • [1] J. Arabas. Wykłady z algorytmów ewolucyjnych. WNT, 2001.
  • [2] G. Beer. Finite element, boundary element and coupled analysis of unbounded problems in elastostastics. Int. J. Numer. Meth. Eng., 19:567-580, 1983.
  • [3] R.A. Białecki, T. Burczyński, A. Długosz, W. Kuś and Z. Ostrowski. Evolutionary shape optimization of thermolastic bodies exchanging heat by convection and radiation. Computer Methods in Applied Mechanics and Engineering, Herems Paris, 10(2):141-171, 2005.
  • [4] T. Burczyński, A. Długosz and W. Kuś. Evolutionary computation in shape optimization of heat radiators. In Proc. Numerical Heat Transfer NHT-2005, EUROTHERM 82, Krakw, 2005.
  • [5] T. Burczyński and W. Kuś. Optimization of structures using distributed and parallel evolutionary algorithms. Lecture Notes on Computational Sciences 3019, Springer, pages 572-579, 2004.
  • [6] T. Burczyński, W. Kuś, A. Długosz, A. Poteralski and M. Szczepanik. Sequential and distributed evolutionary computations in structural optimization. Lecture Notes on Artificial Intelligence 3070, 2004.
  • [7] E. Cantu-Paz. A survey of parallel genetic algorithms, calculaterus parallelus. Reseaux et Systems Reparits, Vol. 194:1839-1859, 1998.
  • [8] MSC Software Corporation. MSC.MARC Theory and user informations, vol. a-d edition, 2001.
  • [9] A. Długosz. Evolutionary computation in thermoelastic problems. Evolutionary Methods in Mechanics, (ed. T. Burczyński, A. Osyczka). Kluwer, Dordrecht, pages 69-80, 2004.
  • [10] V.S. Gordon and D. Whitley. Serial and parallel genetic algorithms as function optimizers. In Proc. International Conference on Genetic Algorithms. S. Forrest, ed. Morgan Kaufmann, 1993.
  • [11] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. Springer Verlag, 1996.
  • [12] M. Modest. Radiative Heat Transfer. McGraw Hill, 1993.
  • [13] H. Siegel and J.R. Howell. Thermal Radiation Heat Transfer. 3rd ed. Hemisphere, 1992.
  • [14] O.C. Zienkiewicz and R.L. Taylor. The Finite Element Method. Butterworth, Vol. 1-3, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0052-0010
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