Detail publikace

Plastic Fitness Predictors Coevolved with Cartesian Programs

WIGLASZ, M. DRAHOŠOVÁ, M.

Originální název

Plastic Fitness Predictors Coevolved with Cartesian Programs

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Coevolution of fitness predictors, which are a small sample of all training data for a particular task, was successfully used to reduce the computational cost of the design performed by cartesian genetic programming. However, it is necessary to specify the most advantageous number of fitness cases in predictors, which differs from task to task. This paper proposes to introduce a new type of directly encoded fitness predictors inspired by the principles of phenotypic plasticity. The size of the coevolved fitness predictor is adapted in response to the phase of learning that the program evolution goes through. It is shown in 5 symbolic regression tasks that the proposed algorithm is able to adapt the number of fitness cases in predictors in response to the solved task and the program evolution flow.

Klíčová slova

fitness predictors, cartesian genetic programming, coevolution, phenotypic plasticity

Autoři

WIGLASZ, M.; DRAHOŠOVÁ, M.

Vydáno

30. 3. 2016

Nakladatel

Springer International Publishing

Místo

Berlin

ISBN

978-3-319-30667-4

Kniha

19th European Conference on Genetic programming

Edice

Lecture Notes in Computer Science

Strany od

164

Strany do

179

Strany počet

16

URL

https://www.fit.vut.cz/research/publication/11001/

BibTex

@inproceedings{BUT130922,
  author="Michal {Wiglasz} and Michaela {Drahošová}",
  title="Plastic Fitness Predictors Coevolved with Cartesian Programs",
  booktitle="19th European Conference on Genetic programming",
  year="2016",
  series="Lecture Notes in Computer Science",
  volume="9594",
  pages="164--179",
  publisher="Springer International Publishing",
  address="Berlin",
  doi="10.1007/978-3-319-30668-1\{_}11",
  isbn="978-3-319-30667-4",
  url="https://www.fit.vut.cz/research/publication/11001/"
}

Dokumenty

wigl-drah-eurogp16.pdf