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Differential evolution with competitive setting of control parameters

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Języki publikacji
EN
Abstrakty
EN
This paper is focused on the adaptation of control parameters in differential evolution. Competition of various control parameter settings was proposed in order to ensure self-adaptation of parameter values in the search process. Several variants of such algorithm were tested on six functions at four levels of the search-space dimension. The competitive variants of differential evolution have proved to be more reliable and less time-consuming than the standard differential evolution. The competitive variants have also outperformed other tested algorithms in their reliability and convergence rate.
Rocznik
Strony
169--179
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
  • University of Ostrava, Department of Computer Science, 30. dubna 22, 701 03 Ostrava, Czech Republic, Josef.Tvrdik@osu.cz
Bibliografia
  • [1] Back T 1996 Evolutionary Algorithms in Theory and Practice, Oxford University Press, New York
  • [2] Spall J C 2003 Introduction to Stochastic Search and Optimization, Wiley-Intersience
  • [3] Stom R and Price K 1997 J. Global Optimization 11 341
  • [4] Zelinka I 2002 Artificial Intelligence in Global Optimization Problems, BEN, Praha (in Czech)
  • [5] Deb K 2005 Soft Computing 9 236
  • [6] Winter G, Galvan B, Alonso S, Gonzales B, Jimenez J I and Greimer D 2005 Soft Computing 9299
  • [7] Wolpert D H and Macready W G 1997 IEEE Trans. on Evolutionary Computation 1 67
  • [8] Brest J, Greimer S, Boškovič B and Mernik M 2006 IEEE Trans. on Evolutionary Computation 10 (6) 646
  • [9] Price K V, Stom R and Lampinen J 2005 Differential Evolution: A Practical Approach to Global Optimization, Springer- Verlag
  • [10] Lampinen J 2002 A Bibliography of Differential Evolution Algorithm. Technical Report, Lappeenranta University of Technology, Department of Information Technology, http://www.lut.fi/~jlampine/debiblio.htm
  • [11] Ali M M and Tom A 2004 Comput. Operations Res. 31 1703
  • [12] Zaharie D 2002 MENDEL 2002, 8th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Brno, pp. 62-67
  • [13] Liu J and Lampinen J 2002 MENDEL 2002, 8th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Brno, pp. 11-18
  • [14] Liu J and Lampinen J 2002 MENDEL 2002, 8th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Brno, pp. 19-26
  • [15] Šmuc T 2002 MENDEL 2002, 8th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Bmo, pp. 80-86
  • [16] Zaharie D 2003 MENDEL 2003, 9th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Bmo, pp. 41-46
  • [17] Liu J and Lampinen J 2005 Soft Computing 9 448
  • [18] Tvrdik J, Mišik L and Křivy I 2002 2nd Euro-ISOI, Intelligent Technologies - Theory and Applications, (Sinčak P et al., Eds), IOS Press, Amsterdam, pp. 159-165
  • [19] Tvrdik J 2004 MENDEL 2004, 10th Int. Conf. on Soft Computing, (Matoušek R and Ošmera P, Eds), University of Technology, Brno, pp. 228-233
  • [20] Tvrdik J 2006 MENDEL 2006, 12th Int. Conf. on Soft Computing, (Matošuek R and Ošmera P, Eds), University of Technology, Bmo, pp. 7-12
  • [21] Zelinka I and Lampinen J 2000 MENDEL 2000, 6th Int. Conf. on Soft Computing, University of Technology, Brno, pp. 177-187
  • [22] McCullough B D and Wilson B 2005 Comput. Statist. and Data Anal. 49 1244
  • [23] 2006 MATLAB, version 7 (R2006a), The MathWorks, Inc.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG4-0035-0058
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