Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
On dynamical genetic programming: Random boolean networks in learning classifier systems
Bull, Larry; Preen, Richard
Authors
Dr Richard Preen Richard2.Preen@uwe.ac.uk
Senior Research Fellow in Machine Learning
Abstract
Many representations have been presented to enable the effective evolution of computer programs. Turing was perhaps the first to present a general scheme by which to achieve this end. Significantly, Turing proposed a form of discrete dynamical system and yet dynamical representations remain almost unexplored within genetic programming. This paper presents results from an initial investigation into using a simple dynamical genetic programming representation within a Learning Classifier System. It is shown possible to evolve ensembles of dynamical Boolean function networks to solve versions of the well-known multiplexer problem. Both synchronous and asynchronous systems are considered.© Springer-Verlag Berlin Heidelberg 2009.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 12th European Conference on Genetic Programming, EuroGP 2009 Tübingen, Germany, April 15-17, 2009 |
Publication Date | Jul 23, 2009 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Print ISSN | 0302-9743 |
Electronic ISSN | 1611-3349 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 5481 LNCS |
Pages | 37-48 |
Book Title | Genetic Programming |
ISBN | ; |
DOI | https://doi.org/10.1007/978-3-642-01181-8_4 |
Keywords | learning classifier systems, random boolean networks |
Public URL | https://uwe-repository.worktribe.com/output/996818 |
Publisher URL | http://dx.doi.org/10.1007/978-3-642-01181-8_4 |
Additional Information | Title of Conference or Conference Proceedings : 12th European Conference on Genetic Programming, EuroGP 2009 Tübingen |
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