Publication Details

Plastic Fitness Predictors Coevolved with Cartesian Programs

WIGLASZ Michal and DRAHOŠOVÁ Michaela. Plastic Fitness Predictors Coevolved with Cartesian Programs. In: 19th European Conference on Genetic programming. Lecture Notes in Computer Science, vol. 9594. Berlin: Springer International Publishing, 2016, pp. 164-179. ISBN 978-3-319-30667-4.
Czech title
Koevoluce plastických prediktorů fitness a kartézských programů
Type
conference paper
Language
english
Authors
Keywords


fitness predictors, cartesian genetic programming, coevolution, phenotypic plasticity

Abstract

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.

Published
2016
Pages
164-179
Proceedings
19th European Conference on Genetic programming
Series
Lecture Notes in Computer Science
Volume
9594
Conference
19th European Conference on Genetic Programming, Porto, PT
ISBN
978-3-319-30667-4
Publisher
Springer International Publishing
Place
Berlin, DE
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB11001,
   author = "Michal Wiglasz and Michaela Draho\v{s}ov\'{a}",
   title = "Plastic Fitness Predictors Coevolved with Cartesian Programs",
   pages = "164--179",
   booktitle = "19th European Conference on Genetic programming",
   series = "Lecture Notes in Computer Science",
   volume = 9594,
   year = 2016,
   location = "Berlin, DE",
   publisher = "Springer International Publishing",
   ISBN = "978-3-319-30667-4",
   doi = "10.1007/978-3-319-30668-1\_11",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11001"
}
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