Richard Preen Richard2.Preen@uwe.ac.uk
Senior Research Fellow
Arithmetic dynamical genetic programming in the XCSF learning classifier system
Preen, Richard; Bull, Larry
Authors
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Abstract
This paper presents results from an investigation into using a continuous-valued dynamical system representation within the XCSF Learning Classifier System. In particular,
dynamical arithmetic genetic networks are used to represent the traditional condition-action production system rules. It is shown possible to use self-adaptive, open-ended evolution to design an ensemble of such dynamical systems within XCSF. The results presented herein show that the collective emergent behaviour of the evolved systems exhibits competitive ...
Citation
Preen, R., & Bull, L. (2011, June). Arithmetic dynamical genetic programming in the XCSF learning classifier system. Paper presented at IEEE Congress on Evolutionary Computation (CEC), 2011, New Orleans, US
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | IEEE Congress on Evolutionary Computation (CEC), 2011 |
Conference Location | New Orleans, US |
Start Date | Jun 5, 2011 |
End Date | Jun 8, 2011 |
Publication Date | Jan 1, 2011 |
Peer Reviewed | Peer Reviewed |
Pages | 1428-1435 |
Keywords | genetic algorithms, learning systems, pattern classification, polynominal approximation, regression analysis |
Public URL | https://uwe-repository.worktribe.com/output/971078 |
Publisher URL | http://dx.doi.org/10.1109/CEC.2011.5949783 |
Additional Information | Title of Conference or Conference Proceedings : IEEE Congress on Evolutionary Computation (CEC), 2011 |
You might also like
A generalised dropout mechanism for distributed systems
(2022)
Journal Article
Nonbinary representations in the NK and NKCS models
(2022)
Journal Article
Evolving Boolean regulatory networks with variable gene expression times
(2021)
Book Chapter
On coevolution: Asymmetry in the NKCS model
(2021)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search