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Two types of parameterization of mass density distribution during immune optimization of the 3D structure

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Języki publikacji
EN
Abstrakty
EN
The paper is devoted to an application of the immune algorithm and the finite element method for generation of 3D structures using two different types of parameterization and comparing the final results. The shape, topology and material of the structure are generated for optimization criterion like minimum of the mass of the structure. Two different interpolation functions like: multinomial interpolation and interpolation based on the neighbourhood of elements are used. The purpose of these procedures is appropriate selection of mass densities.
Rocznik
Strony
105--117
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Institute of Computational Mechanics and Engineering, Silesian University of Technology Gliwice, Poland
Bibliografia
  • [1] Burczynski T., Bereta M., Poteralski A., Szczepanik M., Immune Computing: Intelligent Methodology and its Applications in Bioengineering and Computational Mechanics, Advanced Structured Materials v1, Comput. Meth. Mech., Springer-Verlag, Berlin-Heidelberg 2010, 165-181.
  • [2] Ptak M., Ptak W., Basics of Immunology, Jagiellonian University Press, Cracow 2000.
  • [3] de Castro L.N., Timmis J., Artificial immune systems as a novel soft computing paradigm, Soft Computing 2003, 7(8), 526-544.
  • [4] de Castro L.N., Von Zuben F.J., Immune and neural network models: theoretical and empirical comparisons, International Journal of Computational Intelligence and Applications (IJCIA) 2001, 1(3), 239-257.
  • [5] de Castro L.N., Von Zuben F.J., Learning and optimization using the clonal selection principle, IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems 2002, 6, 239-251.
  • [6] Wierzchon S.T., Artificial Immune Systems, Theory and Applications, EXIT, Warsaw 2001.
  • [7] Poteralski A., Szczepanik M., Ptaszny J., Kus W., Burczynski T., Hybrid artificial immune system in identification of room acoustic properties, Inverse Problems in Science and Engineering 2013, 21(6), 957-967.
  • [8] Poteralski A., Szczepanik M., Dziatkiewicz G. et al., Immune identification of piezoelectric material constants using BEM, Inverse Problems in Science and Engineering 2011, 19, 1, 103-116.
  • [9] Szczepanik M., Poteralski A., Ptaszny J., Burczynski T., Hybrid particle swarm optimizer and its application in identification of room acoustic properties, Swarm and Evolutionary Computation - International Symposia, SIDE 2012 and EC 2012, held in conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012. Proceedings, Lecture Notes in Computer Science, Springer 2012, 7269, 389-394.
  • [10] Reynolds C.W., Flocks, herds, and schools, A distributed behavioral model, Computer Graphics 1987, 21, 25-34.
  • [11] Poteralski A., Szczepanik M., Dziatkiewicz G., Kus W., Comparison between PSO and AIS on the basis of identification of material constants in piezoelectrics, Springer-Verlag, Berlin-Heidelberg 2013, ICAISC 2013, Part II, LNAI 7895. 2013, 7895, 569-581.
  • [12] Szczepanik M., Poteralski A., Długosz A., Kus W., Burczynski T., Bio-inspired optimization of thermomechanical structures, Springer-Verlag, Berlin-Heidelberg 2013, ICAISC 2013, Part II, LNAI 7895, 2013, 7895, 79-90.
  • [13] Burczynski T., Kus W., Dlugosz A., Poteralski A., Szczepanik M., Sequential and distributed evolutionary computations in structural optimization, ICAISC, International Conference on Artificial Intelligence and Soft Computing, Lecture Notes on Artificial Intelligence 3070, Springer 2004, 3070, 1069-1074.
  • [14] Burczynski T., Dlugosz A., Kus W., Orantek P., Poteralski, A., Szczepanik M., Intelligent computing in evolutionary optimal shaping of solids, 3rd International Conference on Computing, Communications and Control Technologies, 3, Proceedings, 2005, 3, 294-298.
  • [15] Burczynski T., Poteralski A., Szczepanik M, Genetic generation of 2-D and 3-D structures, Second M.I.T. Conference on Computational Fluid and Solid Mechanics, Massachusetts Institute of Technology, Cambridge, MA 2003.
  • [16] Burczynski T., Poteralski A., Szczepanik M., Topological evolutionary computing in the optimal design of 2D and 3D structures, Eng. Optimiz. 2007, 39(7), 811-830.
  • [17] Zienkiewicz O.C., Taylor R.L., The Finite Element Method, McGraw Hill, I, 1989, II, 1991.
  • [18] Majchrzak E., Mochnacki B., Numerical Methods. Theoretical Bases, Practical Aspects and Algorithms, Publ. of the Silesian University of Technology, Gliwice 1998 (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4011d017-ce1c-4433-a964-0427bcdcadc4
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