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5.11. References

1.  G. E. Boender, H. E. Romeijn, Stochastic methods, In: Handbook of Global Optimization (R. Horst and P. M. Pardalos, eds.), Kluwer Academic Publishers, Dordrecht, 1995.
2.  S. H. Brooks, A discussion of random methods for seeking maxima. Operations Research, 6, 1958, 244 - 251.
3.  L. Davis, Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York, 1991.
4.  L.J. Eshelman, J. D. Schaffer, Real-coded genetic algorithms and interval-schemata, In: Foundations of Genetic Algorithms-2, D. Whitley (ed.), Morgan Kaufmann, San Mateo, 1993, pp. 187 - 202.
5.  L. J. Fogel, A. J. Owens, M.J. Walsh, Artificial Intelligence through Simulated Evolution, J. Wiley, Chichester, 1966.
6.  D. B. Fogel (ed.), IEEE Trans. on Neural Networks, Special issue on Evolutionary Computations, 1, 1994.
7.  D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
8.  J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI, 1975.
9.  J. Koza, Genetic Programming, MIT Press, Cambridge, MA, 1992.
10.  Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, Berlin, 1992.
11.  N. J. Radcliffe, Formal analysis and random respectful recombination, In: Proc. 4th Int. Conf. on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA, 1991, pp. 222-229.
12.  I. Rechenberg, Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution, Frommann-Holzboog Verlag, Stuttgart, 1973.
13.  H. P. Schwefel, Evolution and Optimum Seeking, J. Wiley, Chichester, 1995
14.  A. Wright, Genetic algorithms for real parameter optimization, In: Foundations of Genetic Algorithms -1, G. J. E. Rawlin (ed.), Morgan Kaufmann, San Mateo, CA, 1991, pp. 205 -218.


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