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SLANÝ, K.
Original Title
Cartesian Genetic Programming in a Changing Environment
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
Cartesian Genetic Programming, Age Layered Population Structure, Changing Environment
Key words in English
Authors
RIV year
2016
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/" }
Documents
ecta15-22-cr