| 2009 |
|---|
| 94 | EE | Larry Bull,
Richard Preen:
On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems.
EuroGP 2009: 37-48 |
| 2008 |
|---|
| 93 | EE | Larry Bull,
Ester Bernadó-Mansilla,
John H. Holmes:
Learning Classifier Systems in Data Mining
Springer 2008 |
| 92 | EE | Gerard David Howard,
Larry Bull,
Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF.
GECCO 2008: 1389-1396 |
| 91 | EE | Gerard David Howard,
Larry Bull:
On the effects of node duplication and connection-oriented constructivism in neural XCSF.
GECCO (Companion) 2008: 1977-1984 |
| 90 | EE | Christopher Stone,
Rita Toth,
Ben de Lacy Costello,
Larry Bull,
Andrew Adamatzky:
Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the BZ Reaction.
PPSN 2008: 579-588 |
| 89 | EE | Larry Bull,
Ester Bernadó-Mansilla,
John H. Holmes:
Learning Classifier Systems in Data Mining: An Introduction.
Learning Classifier Systems in Data Mining 2008: 1-15 |
| 88 | EE | Christopher Stone,
Larry Bull:
Foreign Exchange Trading Using a Learning Classifier System.
Learning Classifier Systems in Data Mining 2008: 169-189 |
| 87 | EE | Kreangsak Tamee,
Larry Bull,
Ouen Pinngern:
Towards Clustering with Learning Classifier Systems.
Learning Classifier Systems in Data Mining 2008: 191-204 |
| 86 | EE | Faten Kharbat,
Mohammed Odeh,
Larry Bull:
Knowledge Discovery from Medical Data: An Empirical Study with XCS.
Learning Classifier Systems in Data Mining 2008: 93-121 |
| 85 | EE | Larry Bull,
Adam Budd,
Christopher Stone,
Ivan S. Uroukov,
Ben de Lacy Costello,
Andrew Adamatzky:
Towards Unconventional Computing through Simulated Evolution: Control of Nonlinear Media by a Learning Classifier System.
Artificial Life 14(2): 203-222 (2008) |
| 84 | EE | Uwe Aickelin,
Larry Bull:
Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm
CoRR abs/0801.3550: (2008) |
| 83 | EE | Andrew Adamatzky,
Larry Bull:
Are complex systems hard to evolve?
CoRR abs/0802.3875: (2008) |
| 82 | EE | Uwe Aickelin,
Larry Bull:
On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners
CoRR abs/0803.2966: (2008) |
| 81 | EE | Ramón Alonso-Sanz,
Larry Bull:
Boolean Networks with Memory.
I. J. Bifurcation and Chaos 18(12): 3799-3814 (2008) |
| 2007 |
|---|
| 80 | EE | Emmanuel Sapin,
Larry Bull:
Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques.
Artificial Evolution 2007: 255-265 |
| 79 | EE | Matthew Smith,
Larry Bull:
Improving the human readability of features constructed by genetic programming.
GECCO 2007: 1694-1701 |
| 78 | EE | Kreangsak Tamee,
Larry Bull,
Ouen Pinngern:
Towards clustering with XCS.
GECCO 2007: 1854-1860 |
| 77 | EE | Faten Kharbat,
Larry Bull,
Mohammed Odeh:
Mining breast cancer data with XCS.
GECCO 2007: 2066-2073 |
| 76 | EE | Larry Bull,
Ivan S. Uroukov:
Initial results from the use of learning classifier systems to control in vitro neuronal networks.
GECCO 2007: 369-376 |
| 75 | EE | Christopher Stone,
Rita Toth,
Andrew Adamatzky,
Ben de Lacy Costello,
Larry Bull:
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction.
GECCO 2007: 472-478 |
| 74 | EE | Larry Bull:
On lookahead and latent learning in simple LCS.
GECCO (Companion) 2007: 2633-2636 |
| 73 | EE | Tim Kovacs,
Larry Bull:
Toward a better understanding of rule initialisation and deletion.
GECCO (Companion) 2007: 2777-2780 |
| 72 | EE | Larry Bull,
Toby O'Hara,
Pier Luca Lanzi:
Anticipation mappings for learning classifier systems.
IEEE Congress on Evolutionary Computation 2007: 2133-2140 |
| 71 | EE | Emmanuel Sapin,
Larry Bull,
Andrew Adamatzky:
A Genetic approach to search for glider guns in cellular automata.
IEEE Congress on Evolutionary Computation 2007: 2456-2462 |
| 70 | EE | Larry Bull:
On Lookahead and Latent Learning in Simple LCS.
IWLCS 2007: 154-168 |
| 69 | EE | Matthew Studley,
Larry Bull:
Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems.
Artificial Life 13(1): 69-86 (2007) |
| 68 | EE | Andrew Adamatzky,
Larry Bull,
Pierre Collet,
Emmanuel Sapin:
Evolving localizations in reaction-diffusion cellular automata
CoRR abs/0712.0836: (2007) |
| 67 | EE | Jorge Casillas,
Brian Carse,
Larry Bull:
Fuzzy-XCS: A Michigan Genetic Fuzzy System.
IEEE T. Fuzzy Systems 15(4): 536-550 (2007) |
| 66 | EE | Larry Bull,
Matthew Studley,
Anthony J. Bagnall,
Ian Whittley:
Learning Classifier System Ensembles With Rule-Sharing.
IEEE Trans. Evolutionary Computation 11(4): 496-502 (2007) |
| 65 | EE | Faten Kharbat,
Mohammed Odeh,
Larry Bull:
New approach for extracting knowledge from the XCS learning classifier system.
Int. J. Hybrid Intell. Syst. 4(2): 49-62 (2007) |
| 2006 |
|---|
| 64 | | Anthony J. Bagnall,
Ian Whittley,
Gareth J. Janacek,
Kate Kemsley,
Matthew Studley,
Larry Bull:
A Comparison of DWT/PAA and DFT for Time Series Classification.
DMIN 2006: 403-409 |
| 63 | EE | Anthony J. Bagnall,
Ian Whittley,
Matthew Studley,
Mike Pettipher,
Firat Tekiner,
Larry Bull:
Variance Stabilizing Regression Ensembles for Environmental Models.
IJCNN 2006: 5355-5361 |
| 62 | EE | Kreangsak Tamee,
Larry Bull,
Ouen Pinngern:
A Learning Classifier System Approach to Clustering.
ISDA (1) 2006: 621-626 |
| 61 | EE | Jacob Hurst,
Larry Bull:
A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control.
Artificial Life 12(3): 353-380 (2006) |
| 2005 |
|---|
| 60 | EE | Larry Bull,
I. Lawson,
Andrew Adamatzky,
Ben DeLacyCostello:
Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata.
Congress on Evolutionary Computation 2005: 136-141 |
| 59 | EE | Toby O'Hara,
Larry Bull:
A memetic accuracy-based neural learning classifier system.
Congress on Evolutionary Computation 2005: 2040-2045 |
| 58 | EE | Toby O'Hara,
Larry Bull:
Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network.
Congress on Evolutionary Computation 2005: 2046-2052 |
| 57 | EE | Faten Kharbat,
Larry Bull,
Mohammed Odeh:
Revisiting genetic selection in the XCS learning classifier system.
Congress on Evolutionary Computation 2005: 2061-2068 |
| 56 | EE | Matthew Studley,
Larry Bull:
X-TCS: accuracy-based learning classifier system robotics.
Congress on Evolutionary Computation 2005: 2099-2106 |
| 55 | EE | Larry Bull:
Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes.
Congress on Evolutionary Computation 2005: 559-564 |
| 54 | EE | Larry Bull,
Matthew Studley,
Tony Bagnall,
Ian Whittley:
On the use of rule-sharing in learning classifier system ensembles.
Congress on Evolutionary Computation 2005: 612-617 |
| 53 | EE | Larry Bull:
Coevolutionary Species Adaptation Genetic Algorithms: A Continuing SAGA on Coupled Fitness Landscapes.
ECAL 2005: 322-331 |
| 52 | EE | Toby O'Hara,
Larry Bull:
Backpropagation in Accuracy-Based Neural Learning Classifier Systems.
IWLCS 2005: 25-39 |
| 51 | EE | David Wyatt,
Larry Bull,
Ian C. Parmee:
Using XCS to Describe Continuous-Valued Problem Spaces.
IWLCS 2005: 308-332 |
| 50 | EE | Matthew G. Smith,
Larry Bull:
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection.
Genetic Programming and Evolvable Machines 6(3): 265-281 (2005) |
| 2004 |
|---|
| 49 | EE | Larry Bull:
A Simple Payoff-Based Learning Classifier System.
PPSN 2004: 1032-1041 |
| 48 | EE | Larry Bull:
Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System.
PPSN 2004: 1042-1050 |
| 47 | EE | Matthew G. Smith,
Larry Bull:
Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector.
PPSN 2004: 1163-1171 |
| 46 | EE | Jacob Hurst,
Larry Bull:
A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control.
PPSN 2004: 942-951 |
| 2003 |
|---|
| 45 | EE | Matthew G. Smith,
Larry Bull:
Feature Construction and Selection Using Genetic Programming and a Genetic Algorithm.
EuroGP 2003: 229-237 |
| 44 | EE | Christopher Stone,
Larry Bull:
Towards Learning Classifier Systems for Continuous-Valued Online Environments.
GECCO 2003: 1924-1925 |
| 43 | | Christopher Stone,
Larry Bull:
For Real! XCS with Continuous-Valued Inputs.
Evolutionary Computation 11(3): 298-336 (2003) |
| 2002 |
|---|
| 42 | | William B. Langdon,
Erick Cantú-Paz,
Keith E. Mathias,
Rajkumar Roy,
David Davis,
Riccardo Poli,
Karthik Balakrishnan,
Vasant Honavar,
Günter Rudolph,
Joachim Wegener,
Larry Bull,
Mitchell A. Potter,
Alan C. Schultz,
Julian F. Miller,
Edmund K. Burke,
Natasa Jonoska:
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002
Morgan Kaufmann 2002 |
| 41 | | Uwe Aickelin,
Larry Bull:
Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm.
GECCO 2002: 263-270 |
| 40 | | Larry Bull:
Lookahead And Latent Learning In ZCS.
GECCO 2002: 897-904 |
| 39 | | Larry Bull,
Toby O'Hara:
Accuracy-based Neuro And Neuro-fuzzy Classifier Systems.
GECCO 2002: 905-911 |
| 38 | | Larry Bull,
David Wyatt,
Ian C. Parmee:
Towards The Use Of XCS In Interactive Evolutionary Design.
GECCO 2002: 951 |
| 37 | EE | Larry Bull,
Matthew Studley:
Consideration of Multiple Objectives in Neural Learning Classifier Systems.
PPSN 2002: 549-557 |
| 36 | EE | Larry Bull:
On Using Constructivism in Neural Classifier Systems.
PPSN 2002: 558-567 |
| 35 | EE | Larry Bull,
David Wyatt,
Ian C. Parmee:
Initial Modifications to XCS for Use in Interactive Evolutionary Design.
PPSN 2002: 568-577 |
| 34 | EE | Jacob Hurst,
Larry Bull,
Chris Melhuish:
TCS Learning Classifier System Controller on a Real Robot.
PPSN 2002: 588-600 |
| 33 | | Larry Bull,
Jacob Hurst:
ZCS Redux.
Evolutionary Computation 10(2): 185-205 (2002) |
| 32 | EE | Larry Bull,
Pier Luca Lanzi,
Wolfgang Stolzmann:
Learning Classifier Systems.
Soft Comput. 6(3-4): 143 (2002) |
| 31 | EE | Larry Bull:
On accuracy-based fitness.
Soft Comput. 6(3-4): 154-161 (2002) |
| 30 | EE | Andy Tomlinson,
Larry Bull:
An accuracy based corporate classifier system.
Soft Comput. 6(3-4): 200-215 (2002) |
| 2001 |
|---|
| 29 | EE | Jacob Hurst,
Larry Bull:
A Self-Adaptive XCS.
IWLCS 2001: 57-73 |
| 28 | | Andy Tomlinson,
Larry Bull:
Symbiogenesis in Learning Classifier Systems.
Artificial Life 7(1): 33-61 (2001) |
| 27 | EE | Larry Bull:
On coevolutionary genetic algorithms.
Soft Comput. 5(3): 201-207 (2001) |
| 2000 |
|---|
| 26 | | Y. J. Cao,
N. Ireson,
Larry Bull,
R. Miles:
Distributed Learning Control of Traffic Signals.
EvoWorkshops 2000: 117-126 |
| 25 | | N. Ireson,
Y. J. Cao,
Larry Bull,
R. Miles:
A Communication Architecture for Multi-agent Learning Systems.
EvoWorkshops 2000: 255-266 |
| 24 | | Larry Bull,
Jacob Hurst:
Self-Adaptive Mutation in ZCS Controllers.
EvoWorkshops 2000: 339-346 |
| 23 | EE | Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness.
IWLCS 2000: 21-28 |
| 22 | EE | Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks.
IWLCS 2000: 29-36 |
| 21 | EE | Jacob Hurst,
Larry Bull:
A Self-Adaptive Classifier System.
IWLCS 2000: 70-79 |
| 20 | | Larry Bull,
Owen Holland,
Susan Blackmore:
On Meme-Gene Coevolution.
Artificial Life 6(3): 227-235 (2000) |
| 1999 |
|---|
| 19 | | Y. J. Cao,
N. Ireson,
Larry Bull,
R. Miles:
Design of a Traffic Junction Controller Using Classifier Systems and Fuzzy Logic.
Fuzzy Days 1999: 342-353 |
| 18 | | Manu Ahluwalia,
Larry Bull:
A Genetic Programming-based Classifier System.
GECCO 1999: 11-18 |
| 17 | | Larry Bull:
On using ZCS in a Simulated Continuous Double-Auction Market.
GECCO 1999: 83-90 |
| 16 | | Manu Ahluwalia,
Larry Bull:
Coevolving Functions in Genetic Programming: Classification using K-nearest-neighbour.
GECCO 1999: 947-952 |
| 15 | EE | Andy Tomlinson,
Larry Bull:
A Corporate XCS.
Learning Classifier Systems 1999: 195-208 |
| 14 | | Larry Bull:
On the Evolution of Multicellularity and Eusociality.
Artificial Life 5(1): 1-15 (1999) |
| 13 | | Larry Bull:
On the Baldwin Effect.
Artificial Life 5(3): 241-246 (1999) |
| 12 | EE | Larry Bull:
On Model-Based Evolutionary Computation.
Soft Comput. 3(2): 76-82 (1999) |
| 1998 |
|---|
| 11 | | Larry Bull:
Evolutionary Computing in Multi-agent Environments: Operators.
Evolutionary Programming 1998: 43-52 |
| 10 | | Manu Ahluwalia,
Larry Bull:
Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiB.
Evolutionary Programming 1998: 809-818 |
| 9 | EE | Larry Bull:
On ZCS in Multi-agent Environments.
PPSN 1998: 471-480 |
| 8 | EE | Andy Tomlinson,
Larry Bull:
A Corporate Classifier System.
PPSN 1998: 550-559 |
| 1997 |
|---|
| 7 | | Larry Bull:
Evolutionary Computation in Multi-Agent Environments: Partners.
ICGA 1997: 370-377 |
| 1996 |
|---|
| 6 | | Larry Bull,
Terence C. Fogarty:
Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis.
PPSN 1996: 12-21 |
| 1995 |
|---|
| 5 | | Larry Bull,
Terence C. Fogarty,
Anthony G. Pipe:
Artificial Endosymbiosis.
ECAL 1995: 273-289 |
| 4 | | Larry Bull,
Terence C. Fogarty,
M. Snaith:
Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot.
ICGA 1995: 382-388 |
| 3 | | Larry Bull,
Terence C. Fogarty:
Artificial Symbiogenesis.
Artificial Life 2(3): 269-292 (1995) |
| 1994 |
|---|
| 2 | | Larry Bull,
Terence C. Fogarty:
An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First Results.
Evolutionary Computing, AISB Workshop 1994: 95-102 |
| 1 | | Larry Bull,
Terence C. Fogarty:
Parallel Evolution of Communicating Classifier Systems.
International Conference on Evolutionary Computation 1994: 680-685 |
