Publication detail

Cartesian Genetic Programming in a Changing Environment

SLANÝ, K.

Original Title

Cartesian Genetic Programming in a Changing Environment

Type

conference paper

Language

English

Original Abstract

Evolutionary algorithm are prevalently being used in static environments. In a dynamically changing environment an evolutionary algorithm must be also able to cope with the changes of the environment. This paper describes an algorithm based on Cartesian Genetic Programming (CGP) that is used to design and optimise a solution in a simulated symbolic regression problem in a changing environment. A modified version of the Age-Layered Population Structure (ALPS) algorithm is being used in cooperation with CGP. It is shown that the usage of ALPS can improve the performance on of CGP when solving problems in a changing environment.

Keywords

Cartesian Genetic Programming, Age Layered Population Structure, Changing Environment

Authors

SLANÝ, K.

RIV year

2015

Released

12. 11. 2015

Publisher

SciTePress - Science and Technology Publications

Location

Lisbon

ISBN

978-989-758-157-1

Book

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015)

Pages from

204

Pages to

211

Pages count

8

URL

https://www.fit.vut.cz/research/publication/10980/

BibTex

@inproceedings{BUT119913,
  author="Karel {Slaný}",
  title="Cartesian Genetic Programming in a Changing Environment",
  booktitle="Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015)",
  year="2015",
  pages="204--211",
  publisher="SciTePress - Science and Technology Publications",
  address="Lisbon",
  isbn="978-989-758-157-1",
  url="https://www.fit.vut.cz/research/publication/10980/"
}