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SCIENCE & EDUCATION

Bauman Moscow State Technical University.   El № FS 77 - 48211.   ISSN 1994-0408

Meta-optimization method of search optimization algorithms

# 01, January 2011
DOI: 10.7463/0111.0164546
Article file: 01.pdf (1395.66Kb)
authors: A.P. Karpenko, Z.O. Svianadze

Literatury

1.                      Karpenko A.P., Seliverstov E.Yu. Global'naya optimizaciya metodom roya chastic. Obzor // Informacionnye tehnologii, 2010, ╧ 2, c. 25-34.

2.                      Bergh F. An Analysis of Particle Swarm Optimizers / Faculty of Natural and Agricultural Science.- Pretoria: University of Pretoria, 2001. PhD thesis.

3.                      Trelea I. The particle swarm optimization algorithm: convergence analysis and parameter selection // Information Processing Letters, 2003, Vol. 85, pp. 317-325.

4.                      Clerc M., Kennedy J. The particle swarm - explosion, stability, and convergence in a multidimensional complex space // IEEE Transactions on Evolutionary Computation, 2002, Vol. 6, pp. 58-73.

5.                      Goldberg D., Miller B., Harik G., Cantu-Paz E. The gambler's ruin problem, genetic algorithms, and the sizing of populations / Proceedings of the 4th IEEE Conference on Evolutionary Computation: IEEE Press, 1997, pp. 7-12.

6.                      Clark J., Goldberg D., Deb K. Genetic algorithms, noise, and the sizing of populatons // Complex Systems, 1992, Vol. 6, pp. 333-362.

7.                      Thierens D., Goldberg D., Deb K. Toward a better understanding of mixing in genetic algorithms / Procedding of the 4th International Conference on Genetic Algorithms.- Morgan Kaufmann, 1991, pp. 190-195.

8.                      Thierens D., Goldberg D. Mixing in genetic algorithms / Proceedings of the 4th International Conference on Genetic Algorithms.- Morgan Kaufmann, 1991, pp. 31-37.

9.                      Back T. Optimal mutation rates in genetic search / Proceedings of the 5th International Conference On Genetic Algorithms.- Morgan Kaufmann, 1993, pp. 2-8.

10.                 Grefenstette, J. J. Optimization of control parameters for genetic algorithms // IEEE Transaction Systems, Man and Cybernetics, 1986, Vol. 16, pp. 122-128.

11.                 Michalewicz Z., Hinterding R., Eiben A. E. Parameter Selection. Evolutionary Optimization.- NewYork: Springer, 2003, Vol. 48, No. 11, pp. 279-306.

12.                 De Jong K. A. Analysis of the Behavior of a Class of Genetic Adaptive Systems.- Michigan (USA): University of Michigan, 1975, PhD dissertation.

13.                 Nelder J. A., Mead R. A simplex method for function minimization // The Computer Journal, Vol. 7, No. 4.- Oxford: Oxford University Press, 1965.

14.                 NAG (Numerical Algorithms Group) (http://www.nag.co.uk/).

15.                 Kurbatova E.A. MATLAB 7. Samouchitel'. -M.: «Dialektika», 2005. -S. 256

16.                 Pedersen M. E. H., Chipperfield A. J. Simplifying particle swarm optimization // Applied Soft Computing, 2010, Vol.. 10, No. 2, pp. 618-628.

17.                 Rechenberg R. Evolution strategie: Optimierung technischer Syseme nach Prinzipen der biologischen Evolution.- Stuttgart: Frommann-Holzboog, 1973.

18.                 Hong Zhang, Masumi Ishikawa. Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-Optimization in Model Selection. Berlin : Springer-Verlag, 2008.

19.                 Grefenstette J. Adapting operator probabilities in genetic algorithms / Proceedings of the 1st International Conference on Genetic Algorithms and Their Applications.- Lawrence Erkbaum Associates, 1989, pp. 61-69.

20.                 Syswerda G. Schedule optimization using genetic algorithms. Handbook of Genetic Algorithms.- Van Nostrand Reinhold, 1991, pp. 332-349.

21.                 Shtoier R. Mnogokriterial'naya optimizaciya. Teoriya, vychisleniya i prilojeniya.– M.: Radio i svyaz', 1992.- 504 s.

22.                 Oldenderfer M. S., Bleshfild R. K. Klasternyi analiz / Faktornyi, diskriminantnyi i klasternyi analiz: per. s angl.; Pod. red. I. S. Enyukova. - M.: Finansy i statistika, 1989.- 215 s.

23.                 Debok G., Kohonen T. Analiz finansovyh dannyh s pomosch'yu samoorganizuyuschihsya kart. -Al'pina Pablisher, 2001.- 317 s.

24.                 Paklin N. Nepreryvnye geneticheskie algoritmy - matematicheskii apparat.

(http://www.basegroup.ru/library/optimization/real_coded_ga/).

25.                 Deb K., Kumar A. Real coded genetic algorithms with simulated binary crossover: Studies on multi modal and multi objective problems // Complex Systems, 1995, Vol. 9, No. 6, pp. 431-454.

26.                 Bandi B. Metody optimizacii. Vvodnyi kurs: Per. s angl. M.: Radio i svyaz', 1988. 128 S.


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