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Warianty tytułu
Języki publikacji
Abstrakty
The paper tries to show the role that can be played by genetic optimization strategies in solving huge global optimization problems in computational mechanics and other branches of high technology. Genetic algorithms are especially recommended as the first phase in two-phase stochastic optimization. The self-adaptability of genetic search is shown on the basis of the mathematical model introduced by M. Vose. Main goals of adaptation are used as leading criteria in the simple taxonomy of genetic strategies.
Słowa kluczowe
Rocznik
Tom
Strony
135--149
Opis fizyczny
Bibliogr. 46 poz., rys., tab.
Twórcy
autor
- Uniwersytet Jagielloński, Instytut Informatyki, ul. Nawojki 11, 30-072 Kraków
Bibliografia
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- [6] T. Bäck, D.B. Fogel, Z. Michalewicz, eds. Handbook of Evolutionary Computation. Oxford Univ. Press, New York, Oxford, 1997.
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- [19] K. Grygiel. On asymptotic properties of a selection-with-mutation operator, Proc. of the 1st Polish Conference on Evolutionary Algorithms, Murzasichle, 1996.
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- [21] M. Littman, D. Adaptative in constant utility nonstationary. Proc. Of ICGA'91 Conf. Morgan Kaufman Publisher, 1991.
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- [25] A. Obuchowicz, J. Korbicz. Evolutionary search with soft selection algorithms in parameter optimization. Proc. of the Conf. PPAM'99, Kazimierz Dolny, Poland, 1999.
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- [27] A. Obuchowicz. Adaption in time-varying landscape using an evolutionary search with soft selection algorithm. Proc. of the KAEGiQ0G'99, Potok Złoty 1999, pp. 245-251, 1999.
- [28] A. Obuchowicz. The evolutionary search with soft selection and deterioration of the objective function. Proc. of the 6th Int. Symp. Intelligent Information Systems, IIS'97, Zakopane, Poland, pp. 288-295, 1997.
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- [30] R. Schaefer, Z.J. J abłoński. On the convergence of sampling measures in the global genetic search. Submitted to the Proceedings of PPAM'01, September. 2000.
- [31] R. Schaefer, J. Kołodziej R. Gwizdała, J. Wojtusiak. How simpletons can increase the community development - an attempt to hierarchical genetic computation. Proc. of the KAEGiOG'2K, Lądek Zdrój 2000, pp. 187-198, 2000.
- [32] R. Schaefer, H. Telega, J. Kołodziej. Genetic algorithm as a Markov dynamic system. Proc. of the Int. Conf. on Intelligent Techniques in Robotics, Control and Decision Making, 22-23 February 1999, pp. 82-86. Polish-Japanese Institute of Information Technology Press, Warsaw, 1999.
- [33] R. Schaefer, H. Telega. Advantages and drawbacks of a genetic clustering strategy. Proc. of the KAEGiOG’99, Potok Złoty 1999, pp. 291-300, 1999
- [34] R. Schaefer, H. Telega. Testing the Genetic Clustering with SGA evolutionary engine. Proc. of the KAEGiOG’99, Lądek Zdrój 2000, pp. 227-236, 2000.
- [35] D Schlierkamp-Voosen, H. Miichlenbein. Adaptation of population sizes by competing subpopulation. Proc. of the 1st IEEE Conf. on Evolutionary Computation, Orlando, FL, June 1996, pp. 330-335. Piscataway, NJ, IEEE, 1996.
- [36] F Seredyński. New trends in parallel and distributed evolutionary computing. Fundamenta Informaticae, 35: 211-230, 1998.
- [37] S. Smith. The simplex method and evolutionary algorithms. Proc of ICEC'98 Conf., Alaska USA, May 1998, IEEE Press, 1998
- [38] W.M. Spears. Simple subpopulation schemes. Proc. of rd Annual Conf. on Evolutionary Programming, San Diego. CA, pp. 296-307. World Scientific, 1994.
- [39] J. Stańczak. Concept and Algorithms Development for Self Adapting Evolutionary Systems, (in Polish). PhD Thesis, Warsaw University of Technology, Warszawa, 1999.
- [40] J. Stańczak. Evolutionary algorithm with population of "smart” solutions (in Polish). Proc. of the KAEGiOG’2K, Lądek Zdrój 2000, pp. 207-218.
- [41] H. Telega. Parallel Algorithms for Solving Selected Inverse Problems (in Polish). PhD Thesis, Academy of Minig and Metalurgy, Cracow, Poland, 1999.
- [42] M.D. Vose, A.D. Wright. Stability of vertex fixed points and applications. Evolutionary Computattons, 1995.
- [43] M.D. Vose. Formalizing genetic algorithms. Proc. IEEE wrksp. on GAs, NNs & SA Applied to Problems Signal and Image Processing. Glasgow, U.K., May 1990.
- [44] M. Vose. The simple genetic algorithm. MIT Press 1999.
- [45] D. Whitley, V. Gordon, K. Mathias. Lamarckian evolution, the Baldwin effect and function optimization. In: Y. Davidor, H.P. Gchwefel, eds., Proc. Of PPSN'94, Berlin, July 1 992. Springer-Verlag, 1992.
- [46] D. Whitley, R. Soraya, R_B. Heckerdorn. Island model genetic algorithms and linearly separable problems. Proc. of AISB 1997 Workshop on Evoluttonary Computing, Manchester, PP. 112-129, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0006-0058