By Matthias Schmidt

ISBN-10: 9533071737

ISBN-13: 9789533071732

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Genetic Programming: On the Programming of Computers by Means of Natural Selection, The MIT Press, ISBN 978-0262111706, Cambridge, Massachusetts, USA Koza, J. R. (1994). Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program, IJCAI- Automatic Generation of Programs 35 95 – Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, Vol. 1, pp. R. et al (2003). Genetic Programming IV: Routine Human-Competitive Machine Intelligence.

88-92. , August 2007 Popelka, O. & Šťastný, J. (2007). Generation of mathematic models for environmental data analysis. Management si Inginerie Economica. Vol. 6, No. 2A, 61-66. ISSN 1583-624X. Price, K. (1999). An Introduction to Differential Evolution. In: New Ideas in Optimization. , Dorigo, M. & Glover, F. ) McGraw-Hill, London (UK), 79–108, ISBN 007-709506-5. Salsi, U. (2007). txt Smith, D. R. (1999). Mechanizing the development of software, In: Nato Advanced Science Institutes Series, Broy M.

Translation progress Chromosome a b c d e f g h i j k l m n o p 42 23 17 11 38 45 22 8 78 37 13 7 19 63 16 27 Rule selection mod 4 = 2 mod 4 = 3 mod 4 = 1 mod 3 = 2 mod 4 = 2 mod 4 = 1 mod 10 = 2 mod 4 = 0 mod 1 = 0 mod 4 = 1 mod 3 = 1 mod 4 = 3 mod 4 = 3 mod 10 = 3 mod 4 = 0 mod 1 = 0 State of the solution – nonterminals in italics will be replaced , bold nonterminals are new `)), ) •(cos(+(2,x)), ) •(cos(+(2,x)), `

`))) •(cos(+(2,x)),sin(•(3,x))) Rule type N T N T N T T N T N T N T T N T Fig.`

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