Conference paper

DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Coevolution in Cartesian Genetic Programming. In: Proc. of the 15th European Conference on Genetic Programming. Heidelberg: Springer Verlag, 2012, pp. 182-193. ISBN 978-3-642-29138-8. Available from:
Publication language:english
Original title:Coevolution in Cartesian Genetic Programming
Title (cs):Koevoluce v kartézském genetickém programování
Proceedings:Proc. of the 15th European Conference on Genetic Programming
Conference:15th European Conference on Genetic Programming
Series:LNCS 7244
Place:Heidelberg, DE
Publisher:Springer Verlag
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Cartesian genetic programming, coevolution, fitness modeling, fitness predictors, symbolic regression.

Cartesian genetic programming (CGP) is a branch of genetic programming which has been utilized in various applications. This paper proposes to introduce coevolution to CGP in order to accelerate the task of symbolic regression. In particular, fitness predictors which are small subsets of the training set are coevolved with CGP programs. It is shown using five symbolic regression problems that the (median) execution time can be reduced 2-5 times in comparison with the standard CGP.

   author = {Michaela Draho{\v{s}}ov{\'{a}} and
	Luk{\'{a}}{\v{s}} Sekanina},
   title = {Coevolution in Cartesian Genetic Programming},
   pages = {182--193},
   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},
   doi = {10.1007/978-3-642-29139-5_16},
   language = {english},
   url = {}

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