All Outputs (6)

Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata (2005)
Presentation / Conference
Bull, L., Lawson, I., Adamatzky, A., & de Lacy Costello, B. (2005, September). Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Paper presented at IEEE Congress on Evolutionary Computation, 2005, Edinburgh, UK

This paper presents a novel approach to the programming of automata-based simulation and computation using a machine learning technique. The identification of lattice-based automata for real-world applications is cast as a data mining problem. Our ap... Read More about Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata.

Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes (2005)
Presentation / Conference
Bull, L. (2005, September). Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes. Paper presented at 2005 IEEE Congress on Eolutionary Computation, Edinburgh, UK

The species adaptation genetic algorithm (SAGA) was introduced to facilitate the open-ended evolution of artificial systems. The approach enables genotypes to increase in length through appropriate mutation operators. Most recently, this has been und... Read More about Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes.

On the use of rule-sharing in learning classifier system ensembles (2005)
Presentation / Conference
Bull, L., Studley, M., Bagnall, T., & Whittley, I. (2005, June). On the use of rule-sharing in learning classifier system ensembles. Paper presented at The 2005 IEEE Congress on Evolutionary Computation

Revisiting genetic selection in the XCS learning classifier system (2005)
Presentation / Conference
Kharbat, F., Bull, L., & Odeh, M. (2005, June). Revisiting genetic selection in the XCS learning classifier system. Paper presented at The 2005 IEEE Congress on Evolutionary Computation

A memetic accuracy-based neural learning classifier system (2005)
Presentation / Conference
O'Hara, T., & Bull, L. (2005, June). A memetic accuracy-based neural learning classifier system. Paper presented at The 2005 IEEE Congress on Evolutionary Computation

Attribute selection methods for filtered attribute subspace based bagging with injected randomness (FASBIR) (2005)
Presentation / Conference
Whittley, I., Bagnall, A., Bull, L., Pettipher, M., Studley, M., & Tekiner, F. (2005, April). Attribute selection methods for filtered attribute subspace based bagging with injected randomness (FASBIR). Paper presented at 2005 SIAM International Conference on Data Mining, Newport Beach, California