Fuzzy Dynamical Genetic Programming in XCSF

Details Fuzzy Dynamical Genetic Programming in XCSF Fuzzy Dynamical Genetic Programming in XCSF

2012-04-18

arxiv.org/abs/1204.4202v1

Preen, R.J. and Bull, L. (2011) Fuzzy Dynamical Genetic Programming in XCSF. In Proceedings of the 13th annual conference comp

Computer Science

Artificial Intelligence

2 page GECCO 2011 poster paper

Scientific paper

A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical Genetic Programming (DGP). This paper presents results from an investigation into using a fuzzy DGP representation within the XCSF Learning Classifier System. In particular, asynchronous Fuzzy Logic 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 fuzzy dynamical systems within XCSF to solve several well-known continuous-valued test problems.

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