Publication detail

Efficient Phenotype Evaluation in Cartesian Genetic Programming

VAŠÍČEK, Z. SLANÝ, K.

Original Title

Efficient Phenotype Evaluation in Cartesian Genetic Programming

Type

conference paper

Language

English

Original Abstract

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.

Keywords

genetic algorithms, genetic programming, cartesian genetic programming, Fitness evaluation, Acceleration, Symbolic regression

Authors

VAŠÍČEK, Z.; SLANÝ, K.

RIV year

2012

Released

25. 1. 2012

Publisher

Springer Verlag

Location

Heidelberg

ISBN

978-3-642-29138-8

Book

Proc. of the 15th European Conference on Genetic Programming

Edition

Lecture Notes in Computer Science

Pages from

266

Pages to

278

Pages count

12

BibTex

@inproceedings{BUT96987,
  author="Zdeněk {Vašíček} and Karel {Slaný}",
  title="Efficient Phenotype Evaluation in Cartesian Genetic Programming",
  booktitle="Proc. of the 15th European Conference on Genetic Programming",
  year="2012",
  series="Lecture Notes in Computer Science",
  volume="7244",
  pages="266--278",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-642-29139-5\{_}23",
  isbn="978-3-642-29138-8"
}