Abstract
The problem of improving the efficiency of Genetic Algorithms to search global optimum is considered. An approach based on applying Genetic Programming methodology to find the best structure of Genetic Algorithms for global optimization is described. It allows to obtain better results in comparison with standard Genetic Algorithms.
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J.R. Koza: Genetic Programming, MIT Press 1992.
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A. Torn, A. Zilinskas: Global Optimization, Springer Verlag Berlin, 1989.
A. P. Fraser: An Introduction to Genetic Programming in C++ (Version 0.40), from ftp.io.com.
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© 1997 Springer-Verlag Berlin Heidelberg
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Wasiewicz, P., Mulawka, J. (1997). Genetic programming in optimization of Algorithms. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_171
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DOI: https://doi.org/10.1007/3-540-62868-1_171
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