Doc. Ing. Zdeněk Vašíček, Ph.D.

VAŠÍČEK Zdeněk and SLANÝ Karel. Efficient Phenotype Evaluation in Cartesian Genetic Programming. In: Proc. of the 15th European Conference on Genetic Programming. Heidelberg: Springer Verlag, 2012, pp. 266-278. ISBN 978-3-642-29138-8.
Publication language:english
Original title:Efficient Phenotype Evaluation in Cartesian Genetic Programming
Title (cs):Efektivní vyhodnocení fenotypu v kartézském genetickém programování
Pages:266-278
Proceedings:Proc. of the 15th European Conference on Genetic Programming
Conference:15th European Conference on Genetic Programming
Series:LNCS 7244
Place:Heidelberg, DE
Year:2012
ISBN:978-3-642-29138-8
Publisher:Springer Verlag
Keywords
genetic algorithms, genetic programming, cartesian genetic programming, Fitness evaluation, Acceleration, Symbolic regression
Annotation
This paper describes an efficient acceleration technique designed to speedup the evaluation of candidate solutions in Cartesian Genetic Programming (CGP). The method is based on translation of the CGP phenotype to a binary machine code that is consequently executed. The key feature of the presented approach is that the introduction of the translation mechanism into common fitness evaluation procedure requires only marginal knowledge of target CPU instruction set. The proposed acceleration technique is evaluated using a symbolic regression problem in floating point domain. It is shown that for a cost of small changes in a common CGP implementation, a significant speedup can be obtained even on a common desktop CPU.
BibTeX:
@INPROCEEDINGS{
   author = {Zden{\v{e}}k Va{\v{s}}{\'{i}}{\v{c}}ek and Karel Slan{\'{y}}},
   title = {Efficient Phenotype Evaluation in Cartesian Genetic
	Programming},
   pages = {266--278},
   booktitle = {Proc. of the 15th European Conference on Genetic Programming},
   series = {LNCS 7244},
   year = {2012},
   location = {Heidelberg, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-29138-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10045}
}

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