Detail výsledku
Cartesian Genetic Programming in a Changing Environment
Evolutionary algorithm are prevalently being used in static environments. In a dynamically changing environmentan evolutionary algorithm must be also able to cope with the changes of the environment. This paperdescribes an algorithm based on Cartesian Genetic Programming (CGP) that is used to design and optimisea solution in a simulated symbolic regression problem in a changing environment. A modified version of theAge-Layered Population Structure (ALPS) algorithm is being used in cooperation with CGP. It is shown thatthe usage of ALPS can improve the performance on of CGP when solving problems in a changing environment.
Cartesian Genetic Programming, Age Layered Population Structure, Changing Environment
@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/"
}