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Author: Karel Slany

Affiliation: Brno University of Technology, Czech Republic

ISBN: 978-989-758-157-1

Keyword(s): Cartesian Genetic Programming, Age Layered Population Structure, Changing Environment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

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.

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Paper citation in several formats:
Slany, K. (2015). Cartesian Genetic Programming in a Changing Environment.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 204-211. DOI: 10.5220/0005594402040211

@conference{ecta15,
author={Karel Slany.},
title={Cartesian Genetic Programming in a Changing Environment},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={204-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005594402040211},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Cartesian Genetic Programming in a Changing Environment
SN - 978-989-758-157-1
AU - Slany, K.
PY - 2015
SP - 204
EP - 211
DO - 10.5220/0005594402040211

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