- author = "Karel Slany",
- title = "Cartesian Genetic Programming in a Changing Environment",
- booktitle = "Proceedings of the 7th International Joint Conference on Computational Intelligence, ECTA 2015",
- year = "2015",
- editor = "Agostinho Rosa and Juan Julian Merelo and Antonio Dourado and Jose M. Cadenas and Kurosh Madani and Antonio Ruano and Joaquim Filipe",
- pages = "204--211",
- address = "Lisbon, Portugal",
- month = "12-14 " # nov,
- organisation = "INSTICC - Institute for Systems and Technologies of Information, Control and Communication, IFAC - International Federation of Automatic Control, IEEE SMC - IEEE Systems, Man and Cybernetics Society",
- publisher = "SCITEPRESS - Science and Technology Publications",
- keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Age Layered Population Structure, Changing Environment",
- isbn13 = "978-989-758-157-1",
- isbn13 = "978-9-8975-8165-6",
- language = "english",
-
URL = "
http://www.fit.vutbr.cz/research/view_pub.php?id=10980",
-
URL = "http://ieeexplore.ieee.org/document/7529325/",
- size = "8 pages",
- 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.",
-
notes = "ALPS CGP
Contact: Ana Margarida Guerreiro
aguerreiro@insticc.org
IJCCI also known as \cite{7529325}",
