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Outputs (56)

Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way (2017)
Presentation / Conference
Bull, L. (2017, April). Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way. Paper presented at 2017 AISB Convention, Bath, UK

This paper uses the recent idea that the fundamental haploid-diploid lifecycle of eukaryotic organisms implements a rudimentary form of learning within evolution. A general approach for evolutionary computation is here derived that differs from all p... Read More about Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way.

Towards the evolution of novel vertical-axis wind turbines (2013)
Presentation / Conference
Preen, R., & Bull, L. (2013, September). Towards the evolution of novel vertical-axis wind turbines. Paper presented at 13th UK Workshop on Computational Intelligence, UKCI 2013, Guildford, UK

Renewable and sustainable energy is one of the most important challenges currently facing mankind. Wind has made an increasing contribution to the world's energy supply mix, but still remains a long way from reaching its full potential. In this paper... Read More about Towards the evolution of novel vertical-axis wind turbines.

Creating unorganised machines from memristors (2012)
Presentation / Conference
Howard, G. D., Bull, L., Costello, B. D. L., & Adamatzky, A. (2012, September). Creating unorganised machines from memristors. Paper presented at ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics, Kos, Greece

Evolving spiking networks with variable memristors (2011)
Presentation / Conference
Howard, G. D., Gale, E., Bull, L., de Lacy Costello, B., & Adamatzky, A. (2011, June). Evolving spiking networks with variable memristors. Paper presented at 13th annual conference on Genetic and evolutionary computation

Arithmetic dynamical genetic programming in the XCSF learning classifier system (2011)
Presentation / Conference
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

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... Read More about Arithmetic dynamical genetic programming in the XCSF learning classifier system.

Towards evolving spiking networks with memristive synapses (2011)
Presentation / Conference
Howard, G. D., Gale, E., Bull, L., de Lacy Costello, B., & Adamatzky, A. (2011, April). Towards evolving spiking networks with memristive synapses. Paper presented at IEEE Symposium on Artificial Life (ALIFE), 2011, Paris, France

This paper presents a spiking neuro-evolutionary system which implements memristors as neuromodulatory connections, ie whose weights can vary during a trial. The evolutionary design process exploits parameter self-adaptation and a constructionist app... Read More about Towards evolving spiking networks with memristive synapses.

Discrete dynamical genetic programming in XCS (2009)
Presentation / Conference
Preen, R., & Bull, L. (2009, July). Discrete dynamical genetic programming in XCS. Paper presented at 11th Annual conference on Genetic and evolutionary computation, Montreal, Canada

A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results from an investigation into using a discrete dynamical system representati... Read More about Discrete dynamical genetic programming in XCS.

On coupling random boolean networks (2008)
Presentation / Conference
Bull, L., & Alonso-Sanz, A. (2008, June). On coupling random boolean networks. Paper presented at Automata 2008: Theory and Applications of Cellular Automata, Bristol, UK, Bristol, UK

Self-adaptive constructivism in neural xcs and xcsf (2008)
Presentation / Conference
Howard, D., Bull, L., & Lanzi, P. L. (2008, June). Self-adaptive constructivism in neural xcs and xcsf. Paper presented at 2008 Genetic and Evolutionary Computation Conference

Anticipation mappings for learning classifier systems (2007)
Presentation / Conference
Bull, L., O'Hara, T., & Lanzi, P. L. (2007, September). Anticipation mappings for learning classifier systems. Paper presented at Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, Singapore

Mining breast cancer data with XCS (2007)
Presentation / Conference
Kharbat, F., Bull, L., & Odeh, M. (2007, June). Mining breast cancer data with XCS. Paper presented at Proceedings of the 9th annual conference on Genetic and evolutionary computation

Towards clustering with XCS (2007)
Presentation / Conference
Tamee, K., Bull, L., & Pinngern, O. (2007, June). Towards clustering with XCS. Paper presented at Proceedings of the 9th annual conference on Genetic and evolutionary computation

A learning classifier system approach to clustering (2006)
Presentation / Conference
Tamee, K., Bull, L., & Pinngern, O. (2006, October). A learning classifier system approach to clustering. Paper presented at Intelligent Systems Design and Applications, 2006. ISDA'06. Sixth International Conference on, Jinan, China

Variance stabilizing regression ensembles for environmental models (2006)
Presentation / Conference
Bagnall, A., Whittley, I., Studley, M., Pettipher, M., Tekiner, F., & Bull, L. (2006, July). Variance stabilizing regression ensembles for environmental models. Paper presented at Neural Networks, 2006. IJCNN'06. International Joint Conference on, Vancouver, Canada

A comparison of DWT/PAA and DFT for time series classification (2006)
Presentation / Conference
Bagnall, A. J., Whittley, I. M., Janacek, G. J., Kemsley, K., Studley, M., & Bull, L. (2006, June). A comparison of DWT/PAA and DFT for time series classification. Paper presented at International conference on Data Mining (DMIN '06), Las Vegas, US

Discrete Fourier transforms (DFT) and Haar two, PAA is identical to a Haar Wavelet transformation [61. wavelets (DWT) were proposed for the use in time series data mining over five years ago and have since proved to be popular algorithms for the tran... Read More about A comparison of DWT/PAA and DFT for time series classification.

Using a learning classifier system for clustering (2006)
Presentation / Conference
Tamee, K., Bull, L., Pinngern, O., Rojanavasu, P., & Srinil, P. (2006, June). Using a learning classifier system for clustering. Paper presented at International Symposium on Communications and Information Technologies, 2006. ISCIT'06

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.

An accuracy-based fuzzy classifier system (2004)
Presentation / Conference
Casillias, J., Carse, B., & Bull, L. (2004, June). An accuracy-based fuzzy classifier system. Paper presented at 12th Spanish Conference on Fuzzy Logic and Technologies

Addressing policy objectives of traffic control using evolutionary algorithms (2002)
Presentation / Conference
Sha'Aban, J., Tomlinson, A., HEYDECKER, B., & Bull, L. (2002, September). Addressing policy objectives of traffic control using evolutionary algorithms. Paper presented at European Transport Conference 2002, Cambridge, UK

This paper presents preliminary results from an ongoing research project that is investigating traffic management and signal control of evolutionary algorithms that use machine learning. It describes the application of novel technologies of machine l... Read More about Addressing policy objectives of traffic control using evolutionary algorithms.

Adaptive traffic control using evolutionary algorithms (2002)
Presentation / Conference
Sha'Aban, J., Tomlinson, A., Heydecker, B. G., & Bull, L. (2002, June). Adaptive traffic control using evolutionary algorithms. Paper presented at 13th Mini-Euro Conference, Bari, Italy

Lookahead and latent learning in ZCS (2002)
Presentation / Conference
Bull, L. (2002, June). Lookahead and latent learning in ZCS. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference 2002

A genetic programming-based classifier system (1999)
Presentation / Conference
Ahluwalia, M., Bull, L., & Banzhaf, W. (1999, June). A genetic programming-based classifier system. Paper presented at Genetic and Evolutionary Computation Conference (GECCO-99)

A zeroth level corporate classifier system (1999)
Presentation / Conference
Tomlinson, A., & Bull, L. (1999, June). A zeroth level corporate classifier system. Paper presented at Genetic and Evolutionary Computation Conference (GECCO’99)

On the evolution of Eukaryotes (1997)
Presentation / Conference
Bull, L. (1997, October). On the evolution of Eukaryotes. Paper presented at Mathematical and computational biology: Computational morphogenesis, hierarchical complexity, and digital evolution: an international workshop, University of Aizu, Aizu-Wakamatsu City, Japan

Parallel evolution of communicating classifier systems (1994)
Presentation / Conference
Bull, L., & Fogarty, T. C. (1994, June). Parallel evolution of communicating classifier systems. Paper presented at Proceedings of the First IEEE Conference on Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence

Co-evolving communicating classifier systems for tracking (1993)
Presentation / Conference
Bull, L., & Fogarty, T. C. (1993, June). Co-evolving communicating classifier systems for tracking. Paper presented at Proceedings of the International Conference on Neural Networks and Genetic Algoriths