Larry Bull - RankMe

246 papers A 30B 17C 2Misc 1Journal 149Unranked 38

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring filter placement in convolutional layer topologies based on ResNet for image classification. Mach. Vis. Appl. Haixia Liu, Tim J. Brailsford, Larry Bull
2024	J	`jnl`	An NKCS Model of Bookchins Communalism. CoRR Larry Bull
2024	Misc	`conf`	Examining Neural Networks Through Architectural Variation Analysis for Image Classification. ICISS Haixia Liu, Tim J. Brailsford, Larry Bull, James Goulding, Gavin Smith
2024	J	`jnl`	Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification. CoRR Haixia Liu, Tim J. Brailsford, James Goulding, Gavin Smith, Larry Bull
2024	J	`jnl`	On Cooperative Coevolution and Global Crossover. IEEE Trans. Evol. Comput. Larry Bull, Haixia Liu
2024	J	`jnl`	On Recombination. Artif. Life Larry Bull
2024	—	`conf`	ResNet18 Performance: Impact of Network Depth and Image Resolution on Image Classification. ICAAI Haixia Liu, Tim J. Brailsford, Larry Bull
2024	J	`jnl`	Toward Neuromic Computing: Neurons as Autoencoders. CoRR Larry Bull
2023	J	`jnl`	A Generalised Dropout Mechanism for Distributed Systems. Artif. Life Larry Bull, Haixia Liu
2023	J	`jnl`	Coevolving Boolean and Multi-Valued Regulatory Networks. CoRR Larry Bull
2023	J	`jnl`	Evolving Multi-valued Regulatory Networks on Tunable Fitness Landscapes. Complex Syst. Larry Bull
2023	J	`jnl`	On Cooperative Coevolution and Global Crossover. CoRR Larry Bull, Haixia Liu
2022	J	`jnl`	Nonbinary Representations in the NK and NKCS Models. Complex Syst. Larry Bull
2021	J	`jnl`	Are Artificial Dendrites Useful in Neuro-Evolution? Artif. Life Larry Bull
2021	J	`jnl`	Autoencoding With a Classifier System. IEEE Trans. Evol. Comput. Richard John Preen, Stewart W. Wilson, Larry Bull
2021	J	`jnl`	Deep Learning with a Classifier System: Initial Results. CoRR Richard John Preen, Larry Bull
2021	J	`jnl`	Evolutionary Algorithms Designing Nanoparticle Cancer Treatments with Multiple Particle Types [Application Notes]. IEEE Comput. Intell. Mag. Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2021	J	`jnl`	In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times. Comput. Methods Programs Biomed. Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2021	J	`jnl`	On Sexual Selection. CoRR Larry Bull
2021	J	`jnl`	On coevolution: Asymmetry in the NKCS model. Biosyst. Larry Bull
2021	J	`jnl`	On the Emergence of Intersexual Selection: Arbitrary Trait Preference Improves Female-Male Coevolution. Artif. Life Larry Bull
2020	J	`jnl`	Are Artificial Dendrites useful in NeuroEvolution? CoRR Larry Bull
2020	J	`jnl`	Evolving Nano Particle Cancer Treatments with Multiple Particle Types. CoRR Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2020	J	`jnl`	Exploring Distributed Control with the NK Model. CoRR Larry Bull
2020	J	`jnl`	Exploring distributed control with the NK model. Int. J. Parallel Emergent Distributed Syst. Larry Bull
2020	J	`jnl`	Novelty search employed into the development of cancer treatment simulations. CoRR Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2020	J	`jnl`	On the Baldwin Effect under Coevolution. CoRR Larry Bull
2020	—	`book`	The Evolution of Complexity - Simple Simulations of Major Innovations Larry Bull
2020	J	`jnl`	Utilizing Differential Evolution into optimizing targeted cancer treatments. CoRR Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2019	J	`jnl`	A Simple Haploid-Diploid Evolutionary Algorithm. CoRR Larry Bull
2019	J	`jnl`	Autoencoding with XCSF. CoRR Richard John Preen, Stewart W. Wilson, Larry Bull
2019	J	`jnl`	Autoencoding with a Learning Classifier System: Initial Results. CoRR Larry Bull
2019	J	`jnl`	Design mining microbial fuel cell cascades. Soft Comput. Richard John Preen, Jiseon You, Larry Bull, Ioannis A. Ieropoulos
2019	—	`ch.`	Evolving Memristive Neural Networks. Handbook of Memristor Networks Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky
2019	J	`jnl`	Haploid-Diploid Evolution: Nature's Memetic Algorithm. CoRR Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
2019	J	`jnl`	Sex and Coevolution. CoRR Larry Bull
2019	J	`jnl`	Towards an evolvable cancer treatment simulator. Biosyst. Richard John Preen, Larry Bull, Andrew Adamatzky
2018	J	`jnl`	The Evolution of Gene Dominance through the Baldwin Effect. CoRR Larry Bull
2018	J	`jnl`	The Evolution of Sex Chromosomes through the Baldwin Effect. CoRR Larry Bull
2018	J	`jnl`	Towards an Evolvable Cancer Treatment Simulator. CoRR Richard John Preen, Larry Bull, Andrew Adamatzky
2018	J	`jnl`	Towards the Design of Aerostat Wind Turbine Arrays through AI. CoRR Larry Bull, Neil Phillips
2017	J	`jnl`	On Design Mining: Coevolution and Surrogate Models. Artif. Life Richard John Preen, Larry Bull
2017	J	`jnl`	The Evolution of Sex through the Baldwin Effect. Artif. Life Larry Bull
2016	J	`jnl`	A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. Neural Process. Lett. Gerard David Howard, Larry Bull, Pier Luca Lanzi
2016	J	`jnl`	Design Mining Interacting Wind Turbines. Evol. Comput. Richard John Preen, Larry Bull
2016	J	`jnl`	Design Mining Microbial Fuel Cell Cascades. CoRR Richard John Preen, Jiseon You, Larry Bull, Ioannis A. Ieropoulos
2016	J	`jnl`	Evolving Boolean Regulatory Networks with Variable Gene Expression Times. CoRR Larry Bull
2016	J	`jnl`	Haploid-Diploid Algorithms. CoRR Larry Bull
2016	J	`jnl`	On Cellular Darwinism: Mitochondria. Artif. Life Larry Bull
2016	J	`jnl`	On the evolution of Boolean networks for computation: a guide RNA mechanism. Int. J. Parallel Emergent Distributed Syst. Larry Bull
2016	J	`jnl`	The Evolution of Sex through the Baldwin Effect. CoRR Larry Bull
2016	B	`conf`	XCS-DH: Minimal default hierarchies in XCS. CEC Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama
2015	J	`jnl`	A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. CoRR Gerard David Howard, Larry Bull, Pier Luca Lanzi
2015	J	`jnl`	A brief history of learning classifier systems: from CS-1 to XCS and its variants. Evol. Intell. Larry Bull
2015	J	`jnl`	Design Mining VAWT Wind Farms. CoRR Richard John Preen, Larry Bull
2015	J	`jnl`	Evolving Boolean Networks with RNA Editing. CoRR Larry Bull
2015	J	`jnl`	Evolving Spiking Networks with Variable Resistive Memories. CoRR Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Ella Gale
2015	—	`conf`	Evolving Unipolar Memristor Spiking Neural Networks. ACALCI Gerard David Howard, Larry Bull, Ben de Lacy Costello
2015	J	`jnl`	Evolving Unipolar Memristor Spiking Neural Networks. CoRR Gerard David Howard, Larry Bull, Ben de Lacy Costello
2015	J	`jnl`	Evolving unipolar memristor spiking neural networks. Connect. Sci. Gerard David Howard, Larry Bull, Ben de Lacy Costello
2015	J	`jnl`	On the Evolution of Behaviors through Embodied Imitation. Artif. Life Mehmet Dinçer Erbas, Larry Bull, Alan F. T. Winfield
2015	J	`jnl`	Toward the Coevolution of Novel Vertical-Axis Wind Turbines. IEEE Trans. Evol. Comput. Richard John Preen, Larry Bull
2014	J	`jnl`	A Brief History of Learning Classifier Systems: From CS-1 to XCS. CoRR Larry Bull
2014	J	`jnl`	A new hybrid architecture for the discovery and compaction of knowledge: breast cancer datasets case study. Int. Arab J. Inf. Technol. Faten F. Kharbat, Mohammed Odeh, Larry Bull
2014	J	`jnl`	Design Mining Interacting Wind Turbines: Surrogate-Assisted Coevolution of Rapid Prototyped VAWT. CoRR Richard John Preen, Larry Bull
2014	J	`jnl`	Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system. Soft Comput. Richard Preen, Larry Bull
2014	J	`jnl`	Embodied imitation-enhanced reinforcement learning in multi-agent systems. Adapt. Behav. Mehmet Dinçer Erbas, Alan F. T. Winfield, Larry Bull
2014	J	`jnl`	Evolving Boolean regulatory networks with epigenetic control. Biosyst. Larry Bull
2014	J	`jnl`	Evolving Functional and Structural Dynamism in Coupled Boolean Networks. Artif. Life Larry Bull
2014	J	`jnl`	Evolving Spiking Networks with Variable Resistive Memories. Evol. Comput. Gerard David Howard, Larry Bull, Ben de Lacy Costello, Ella Gale, Andrew Adamatzky
2014	J	`jnl`	Exploiting generalisation symmetries in accuracy-based learning classifier systems: An initial study. CoRR Larry Bull
2014	J	`jnl`	Foreword. Evol. Intell. Larry Bull
2014	J	`jnl`	Foreword. Evol. Intell. Larry Bull
2014	J	`jnl`	Towards the evolution of vertical-axis wind turbines using supershapes. Evol. Intell. Richard John Preen, Larry Bull
2013	J	`jnl`	A SPICE Model of the PEO-Pani memristor. Int. J. Bifurc. Chaos Gerard David Howard, Larry Bull, Ben de Lacy Costello, Andrew Adamatzky, Victor Erokhin
2013	J	`jnl`	Consideration of mobile DNA: new forms of artificial genetic regulatory networks. Nat. Comput. Larry Bull
2013	J	`jnl`	Dynamical Genetic Programming in XCSF. Evol. Comput. Richard Preen, Larry Bull
2013	J	`jnl`	Evolving Boolean Regulatory Networks with Epigenetic Control. CoRR Larry Bull
2013	J	`jnl`	Evolving Gene Regulatory Networks with Mobile DNA Mechanisms. CoRR Larry Bull, Andrew Adamatzky
2013	—	`conf`	Evolving gene regulatory networks with mobile DNA mechanisms. UKCI Larry Bull, Andrew Adamatzky
2013	—	`ch.`	Imitation Programming Unorganised Machines. Artificial Intelligence, Evolutionary Computing and Metaheuristics Larry Bull
2013	J	`jnl`	Initiation of Waves in BZ Encapsulated Vesicles Using Light - Towards Design of Computing Architectures. Int. J. Unconv. Comput. Ben de Lacy Costello, Ishrat Jahan, Matt Ahearn, Julian Holley, Larry Bull, Andrew Adamatzky
2013	J	`jnl`	On Mobile DNA in Artificial Regulatory Networks: Evolving Functional and Structural Dynamism CoRR Larry Bull
2013	J	`jnl`	Towards Application of the RBNK Model. CoRR Larry Bull
2013	J	`jnl`	Towards the Coevolution of Novel Vertical-Axis Wind Turbines. CoRR Richard Preen, Larry Bull
2013	—	`conf`	Towards the evolution of novel vertical-axis wind turbines. UKCI Richard Preen, Larry Bull
2012	—	`conf`	A New Compaction Algorithm for LCS Rules - Breast Cancer Dataset Case Study. KDIR Faten F. Kharbat, Larry Bull, Mohammed Odeh
2012	J	`jnl`	A Simple Computational Cell: Coupling Boolean Gene and Protein Networks. Artif. Life Larry Bull
2012	J	`jnl`	A Spiking Neural Learning Classifier System CoRR Gerard David Howard, Larry Bull, Pier Luca Lanzi
2012	B	`conf`	Cartesian Genetic Programming for Memristive Logic Circuits. EuroGP Gerard David Howard, Larry Bull, Andrew Adamatzky
2012	J	`jnl`	Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the B-Z Reaction CoRR Christopher Stone, Rita Toth, Ben de Lacy Costello, Larry Bull, Andrew Adamatzky
2012	J	`jnl`	Discrete Dynamical Genetic Programming in XCS CoRR Richard Preen, Larry Bull
2012	J	`jnl`	Discrete and Fuzzy Dynamical Genetic Programming in the XCSF Learning Classifier System CoRR Richard Preen, Larry Bull
2012	J	`jnl`	Evolution of Plastic Learning in Spiking Networks via Memristive Connections CoRR Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky
2012	J	`jnl`	Evolution of Plastic Learning in Spiking Networks via Memristive Connections. IEEE Trans. Evol. Comput. Gerard David Howard, Ella Gale, Larry Bull, Ben de Lacy Costello, Andy Adamatzky
2012	J	`jnl`	Evolution of Supershapes for the Generation of Three-Dimensional Designs CoRR Richard Preen, Larry Bull
2012	J	`jnl`	Evolving Boolean Networks on Tunable Fitness Landscapes. IEEE Trans. Evol. Comput. Larry Bull
2012	J	`jnl`	Evolving Boolean Networks with Structural Dynamism. Artif. Life Larry Bull
2012	J	`jnl`	Fuzzy Dynamical Genetic Programming in XCSF CoRR Richard Preen, Larry Bull
2012	J	`jnl`	Initiation of waves in BZ encapsulated vesicles using light - towards design of computing architectures CoRR Ben de Lacy Costello, Ishrat Jahan, Matt Ahearn, Julian Holley, Larry Bull, Andrew Adamatzky
2012	J	`jnl`	On Natural Genetic Engineering: Structural Dynamism in Random Boolean Networks CoRR Larry Bull
2012	J	`jnl`	On architectures of circuits implemented in simulated Belousov-Zhabotinsky droplets. Biosyst. Andrew Adamatzky, Julian Holley, Peter Dittrich, Jerzy Gorecki, Ben de Lacy Costello, Klaus-Peter Zauner, Larry Bull
2012	J	`jnl`	Production System Rules as Protein Complexes from Genetic Regulatory Networks CoRR Larry Bull
2012	J	`jnl`	Production system rules as protein complexes from genetic regulatory networks: an initial study. Evol. Intell. Larry Bull
2012	J	`jnl`	Toward Turing's A-type Unorganised Machines in an Unconventional Substrate: a Dynamic Representation in Compartmentalised Excitable Chemical Media CoRR Larry Bull, Julian Holley, Ben de Lacy Costello, Andrew Adamatzky
2012	J	`jnl`	Towards the Evolution of Novel Vertical-Axis Wind Turbines CoRR Richard Preen, Larry Bull
2012	J	`jnl`	Using genetical and cultural search to design unorganised machines. Evol. Intell. Larry Bull
2011	B	`conf`	Arithmetic dynamical genetic programming in the XCSF Learning Classifier System. IEEE Congress on Evolutionary Computation Richard Preen, Larry Bull
2011	J	`jnl`	Computational modalities of Belousov-Zhabotinsky encapsulated vesicles. Nano Commun. Networks Julian Holley, Andrew Adamatzky, Larry Bull, Ben de Lacy Costello, Ishrat Jahan
2011	A	`conf`	Evolving spiking networks with variable memristors. GECCO Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andrew Adamatzky
2011	—	`conf`	Fuzzy dynamical genetic programming in XCSF. GECCO (Companion) Richard Preen, Larry Bull
2011	J	`jnl`	On Polymorphic Logical Gates in Subexcitable Chemical Medium. Int. J. Bifurc. Chaos Andrew Adamatzky, Ben de Lacy Costello, Larry Bull
2011	—	`conf`	Towards a Mapping of Modern AIS and LCS. ICARIS Larry Bull
2011	C	`conf`	Towards evolving spiking networks with memristive synapses. ALIFE Gerard David Howard, Ella Gale, Larry Bull, Benjamin de Lacy Costello, Andy Adamatzky
2011	C	`conf`	Towards imitation-enhanced Reinforcement Learning in multi-agent systems. ALIFE Mehmet Dinçer Erbas, Alan F. T. Winfield, Larry Bull
2011	J	`jnl`	Vesicle computers: Approximating Voronoi diagram on Voronoi automata CoRR Andrew Adamatzky, Ben de Lacy Costello, Julian Holley, Jerzy Gorecki, Larry Bull
2010	B	`conf`	A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation Gerard David Howard, Larry Bull, Pier Luca Lanzi
2010	J	`jnl`	Artificial Symbiogenesis and Differing Reproduction Rates. Artif. Life Larry Bull
2010	—	`conf`	Imitation Programming. ICES Larry Bull
2010	J	`jnl`	On polymorphic logical gates in sub-excitable chemical medium CoRR Andrew Adamatzky, Ben de Lacy Costello, Larry Bull
2010	J	`jnl`	One-Dimensional Coupled Cellular Automata with Memory: Initial Investigations. J. Cell. Autom. Ramón Alonso-Sanz, Larry Bull
2010	J	`jnl`	Stochastic automated search methods in cellular automata: the discovery of tens of thousands of glider guns. Nat. Comput. Emmanuel Sapin, Andrew Adamatzky, Pierre Collet, Larry Bull
2009	J	`jnl`	Are complex systems hard to evolve? Complex. Andy Adamatzky, Larry Bull
2009	J	`jnl`	Computer Music Meets Unconventional Computing: Towards Sound Synthesis with In Vitro Neuronal Networks. Comput. Music. J. Eduardo Reck Miranda, Larry Bull, François Gueguen, Ivan S. Uroukov
2009	A	`conf`	Discrete dynamical genetic programming in XCS. GECCO Richard Preen, Larry Bull
2009	J	`jnl`	Elementary Cellular Automata with Minimal Memory and Random Number Generation. Complex Syst. Ramón Alonso-Sanz, Larry Bull
2009	J	`jnl`	Evolution of cellular automata with memory: The Density Classification Task. Biosyst. Christopher Stone, Larry Bull
2009	J	`jnl`	Genetic approaches to search for computing patterns in cellular automata. IEEE Comput. Intell. Mag. Emmanuel Sapin, Larry Bull, Andrew Adamatzky
2009	J	`jnl`	Introduction to the special issue on learning classifier systems. Nat. Comput. Larry Bull, Pier Luca Lanzi
2009	B	`conf`	On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems. EuroGP Larry Bull, Richard Preen
2009	J	`jnl`	On Minimally Coupled Boolean Networks. Int. J. Bifurc. Chaos Ramón Alonso-Sanz, Larry Bull
2009	J	`jnl`	On dynamical genetic programming: simple Boolean networks in learning classifier systems. Int. J. Parallel Emergent Distributed Syst. Larry Bull
2009	J	`jnl`	Simple Collision-Based Chemical Logic Gates with Adaptive Computing. Int. J. Nanotechnol. Mol. Comput. Rita Toth, Christopher Stone, Ben de Lacy Costello, Andrew Adamatzky, Larry Bull
2009	J	`jnl`	Solving the Density Classification Task Using Cellular Automaton 184 with Memory. Complex Syst. Christopher Stone, Larry Bull
2009	A	`conf`	Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO Gerard David Howard, Larry Bull, Pier Luca Lanzi
2009	—	`conf`	Use of a Connection-Selection Scheme in Neural XCSF. IWLCS Gerard David Howard, Larry Bull, Pier Luca Lanzi
2008	J	`jnl`	Are complex systems hard to evolve? CoRR Andrew Adamatzky, Larry Bull
2008	J	`jnl`	Boolean Networks with Memory. Int. J. Bifurc. Chaos Ramón Alonso-Sanz, Larry Bull
2008	A	`conf`	Coevolving Cellular Automata with Memory for Chemical Computing: Boolean Logic Gates in the BZ Reaction. PPSN Christopher Stone, Rita Toth, Ben de Lacy Costello, Larry Bull, Andrew Adamatzky
2008	J	`jnl`	Dedication: Dr. Lawrence J. Fogel (1928-2007). Evol. Intell. Larry Bull
2008	—	`conf`	Elementary coupled cellular automata with memory. Automata Ramón Alonso-Sanz, Larry Bull
2008	J	`jnl`	Evolutionary Search for Cellular Automata Logic Gates with Collision-Based Computing. Complex Syst. Emmanuel Sapin, Larry Bull
2008	—	`ch.`	Foreign Exchange Trading Using a Learning Classifier System. Learning Classifier Systems in Data Mining Christopher Stone, Larry Bull
2008	J	`jnl`	Foreword. Evol. Intell. Larry Bull
2008	J	`jnl`	Initial Results from the Use of Evolutionary Learning to Control Chemical Computers. Int. J. Unconv. Comput. Adam Budd, Christopher Stone, Jonathan Masere, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull
2008	—	`ch.`	Knowledge Discovery from Medical Data: An Empirical Study with XCS. Learning Classifier Systems in Data Mining Faten F. Kharbat, Mohammed Odeh, Larry Bull
2008	—	`book`	Learning Classifier Systems in Data Mining Learning Classifier Systems in Data Mining Larry Bull, Ester Bernadó-Mansilla, John H. Holmes
2008	—	`ch.`	Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining Larry Bull, Ester Bernadó-Mansilla, John H. Holmes
2008	—	`conf`	On coupling random Boolean networks. Automata Larry Bull, Ramón Alonso-Sanz
2008	J	`jnl`	On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners CoRR Uwe Aickelin, Larry Bull
2008	—	`conf`	On the effects of node duplication and connection-oriented constructivism in neural XCSF. GECCO (Companion) Gerard David Howard, Larry Bull
2008	J	`jnl`	Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm CoRR Uwe Aickelin, Larry Bull
2008	A	`conf`	Self-adaptive constructivism in Neural XCS and XCSF. GECCO Gerard David Howard, Larry Bull, Pier Luca Lanzi
2008	—	`ch.`	Towards Clustering with Learning Classifier Systems. Learning Classifier Systems in Data Mining Kreangsak Tamee, Larry Bull, Ouen Pinngern
2008	J	`jnl`	Towards Neuronal Computing: Simple Creation of Two Logic Functions in 3D Cell Cultures using Multi-Electrode Arrays. Int. J. Unconv. Comput. Larry Bull, Ivan S. Uroukov
2008	J	`jnl`	Towards Unconventional Computing through Simulated Evolution: Control of Nonlinear Media by a Learning Classifier System. Artif. Life Larry Bull, Adam Budd, Christopher Stone, Ivan S. Uroukov, Ben de Lacy Costello, Andrew Adamatzky
2007	B	`conf`	A Genetic approach to search for glider guns in cellular automata. IEEE Congress on Evolutionary Computation Emmanuel Sapin, Larry Bull, Andrew Adamatzky
2007	J	`jnl`	A Learning Classifier System Approach to the Identification of Cellular Automata. J. Cell. Autom. Larry Bull, Andrew Adamatzky
2007	B	`conf`	Anticipation mappings for learning classifier systems. IEEE Congress on Evolutionary Computation Larry Bull, Toby O'Hara, Pier Luca Lanzi
2007	J	`jnl`	Evolving localizations in reaction-diffusion cellular automata CoRR Andrew Adamatzky, Larry Bull, Pierre Collet, Emmanuel Sapin
2007	J	`jnl`	Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE Trans. Fuzzy Syst. Jorge Casillas, Brian Carse, Larry Bull
2007	A	`conf`	Improving the human readability of features constructed by genetic programming. GECCO Matthew Goble Smith, Larry Bull
2007	A	`conf`	Initial results from the use of learning classifier systems to control GECCO Larry Bull, Ivan S. Uroukov
2007	J	`jnl`	Learning Classifier System Ensembles With Rule-Sharing. IEEE Trans. Evol. Comput. Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian M. Whittley
2007	A	`conf`	Mining breast cancer data with XCS. GECCO Faten F. Kharbat, Larry Bull, Mohammed Odeh
2007	J	`jnl`	New approach for extracting knowledge from the XCS learning classifier system. Int. J. Hybrid Intell. Syst. Faten F. Kharbat, Mohammed Odeh, Larry Bull
2007	—	`conf`	On Lookahead and Latent Learning in Simple LCS. IWLCS Larry Bull
2007	—	`conf`	On lookahead and latent learning in simple LCS. GECCO (Companion) Larry Bull
2007	—	`conf`	Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques. Artificial Evolution Emmanuel Sapin, Larry Bull
2007	J	`jnl`	Super Computer Heterogeneous Classifier Meta-Ensembles. Int. J. Data Warehous. Min. Anthony J. Bagnall, Gavin C. Cawley, Ian M. Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner
2007	—	`conf`	Toward a better understanding of rule initialisation and deletion. GECCO (Companion) Tim Kovacs, Larry Bull
2007	A	`conf`	Towards clustering with XCS. GECCO Kreangsak Tamee, Larry Bull, Ouen Pinngern
2007	A	`conf`	Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. GECCO Christopher Stone, Rita Toth, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull
2007	J	`jnl`	Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems. Artif. Life Matthew Studley, Larry Bull
2007	J	`jnl`	YCSc: A Modified Clustering Technique Based On LCS. J. Digit. Inf. Manag. Kreangsak Tamee, Larry Bull, Ouen Pinngern
2006	—	`conf`	A Comparison of DWT/PAA and DFT for Time Series Classification. DMIN Anthony J. Bagnall, Ian M. Whittley, Gareth J. Janacek, Kate Kemsley, Matthew Studley, Larry Bull
2006	—	`conf`	A Learning Classifier System Approach to Clustering. ISDA (1) Kreangsak Tamee, Larry Bull, Ouen Pinngern
2006	J	`jnl`	A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control. Artif. Life Jacob Hurst, Larry Bull
2006	B	`conf`	Variance Stabilizing Regression Ensembles for Environmental Models. IJCNN Anthony J. Bagnall, Ian M. Whittley, Matthew Studley, Mike Pettipher, Firat Tekiner, Larry Bull
2005	B	`conf`	A memetic accuracy-based neural learning classifier system. Congress on Evolutionary Computation Toby O'Hara, Larry Bull
2005	—	`conf`	Backpropagation in Accuracy-Based Neural Learning Classifier Systems. IWLCS Toby O'Hara, Larry Bull
2005	B	`conf`	Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network. Congress on Evolutionary Computation Toby O'Hara, Larry Bull
2005	—	`conf`	Coevolutionary Species Adaptation Genetic Algorithms: A Continuing SAGA on Coupled Fitness Landscapes. ECAL Larry Bull
2005	B	`conf`	Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes. Congress on Evolutionary Computation Larry Bull
2005	J	`jnl`	Genetic Programming with a Genetic Algorithm for Feature Construction and Selection. Genet. Program. Evolvable Mach. Matthew Goble Smith, Larry Bull
2005	B	`conf`	On the use of rule-sharing in learning classifier system ensembles. Congress on Evolutionary Computation Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian M. Whittley
2005	B	`conf`	Revisiting genetic selection in the XCS learning classifier system. Congress on Evolutionary Computation Faten F. Kharbat, Larry Bull, Mohammed Odeh
2005	B	`conf`	Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Congress on Evolutionary Computation Larry Bull, I. Lawson, Andrew Adamatzky, Ben de Lacy Costello
2005	—	`conf`	Using XCS to Describe Continuous-Valued Problem Spaces. IWLCS David Ian Wyatt, Larry Bull, Ian C. Parmee
2005	B	`conf`	X-TCS: accuracy-based learning classifier system robotics. Congress on Evolutionary Computation Matthew Studley, Larry Bull
2004	A	`conf`	A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. PPSN Jacob Hurst, Larry Bull
2004	A	`conf`	A Simple Payoff-Based Learning Classifier System. PPSN Larry Bull
2004	A	`conf`	Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. PPSN Larry Bull
2004	A	`conf`	Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. PPSN Matthew Goble Smith, Larry Bull
2003	B	`conf`	A neural learning classifier system with self-adaptive constructivism. IEEE Congress on Evolutionary Computation Larry Bull, Jacob Hurst
2003	B	`conf`	Feature Construction and Selection Using Genetic Programming and a Genetic Algorithm. EuroGP Matthew Goble Smith, Larry Bull
2003	J	`jnl`	For Real! XCS with Continuous-Valued Inputs. Evol. Comput. Christopher Stone, Larry Bull
2003	A	`conf`	Towards Learning Classifier Systems for Continuous-Valued Online Environments. GECCO Christopher Stone, Larry Bull
2002	A	`conf`	Accuracy-based Neuro And Neuro-fuzzy Classifier Systems. GECCO Larry Bull, Toby O'Hara
2002	J	`jnl`	An accuracy based corporate classifier system. Soft Comput. Andy Tomlinson, Larry Bull
2002	A	`conf`	Consideration of Multiple Objectives in Neural Learning Classifier Systems. PPSN Larry Bull, Matthew Studley
2002	A	`ed.`	GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 GECCO William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska
2002	A	`conf`	Initial Modifications to XCS for Use in Interactive Evolutionary Design. PPSN Larry Bull, David Ian Wyatt, Ian C. Parmee
2002	J	`jnl`	Learning Classifier Systems. Soft Comput. Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann
2002	A	`conf`	Lookahead And Latent Learning In ZCS. GECCO Larry Bull
2002	A	`conf`	On Using Constructivism in Neural Classifier Systems. PPSN Larry Bull
2002	J	`jnl`	On accuracy-based fitness. Soft Comput. Larry Bull
2002	A	`conf`	Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm. GECCO Uwe Aickelin, Larry Bull
2002	A	`conf`	TCS Learning Classifier System Controller on a Real Robot. PPSN Jacob Hurst, Larry Bull, Chris Melhuish
2002	A	`conf`	Towards The Use Of XCS In Interactive Evolutionary Design. GECCO Larry Bull, David Ian Wyatt, Ian C. Parmee
2002	J	`jnl`	ZCS Redux. Evol. Comput. Larry Bull, Jacob Hurst
2001	—	`conf`	A Self-Adaptive XCS. IWLCS Jacob Hurst, Larry Bull
2001	J	`jnl`	Coevolving functions in genetic programming. J. Syst. Archit. Manu Ahluwalia, Larry Bull
2001	J	`jnl`	On coevolutionary genetic algorithms. Soft Comput. Larry Bull
2001	J	`jnl`	Self-adaptation in classifier system controllers. Artif. Life Robotics Jacob Hurst, Larry Bull
2001	J	`jnl`	Simple models of coevolutionary genetic algorithms. Artif. Life Robotics Larry Bull
2001	J	`jnl`	Symbiogenesis in Learning Classifier Systems. Artif. Life Andy Tomlinson, Larry Bull
2000	—	`conf`	A Communication Architecture for Multi-agent Learning Systems. EvoWorkshops Neil Ireson, Y. J. Cao, Larry Bull, R. Miles
2000	—	`conf`	A Self-Adaptive Classifier System. IWLCS Jacob Hurst, Larry Bull
2000	—	`conf`	Distributed Learning Control of Traffic Signals. EvoWorkshops Y. J. Cao, Neil Ireson, Larry Bull, R. Miles
2000	J	`jnl`	On Meme-Gene Coevolution. Artif. Life Larry Bull, Owen Holland, Susan Blackmore
2000	—	`conf`	Self-Adaptive Mutation in ZCS Controllers. EvoWorkshops Larry Bull, Jacob Hurst
2000	—	`conf`	Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness. IWLCS Larry Bull
2000	—	`conf`	Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks. IWLCS Larry Bull
1999	—	`conf`	A Corporate XCS. Learning Classifier Systems Andy Tomlinson, Larry Bull
1999	A	`conf`	A Genetic Programming-based Classifier System. GECCO Manu Ahluwalia, Larry Bull
1999	A	`conf`	Coevolving Functions in Genetic Programming: Classification using K-nearest-neighbour. GECCO Manu Ahluwalia, Larry Bull
1999	—	`conf`	Design of a Traffic Junction Controller Using Classifier Systems and Fuzzy Logic. Fuzzy Days Y. J. Cao, Neil Ireson, Larry Bull, R. Miles
1999	J	`jnl`	On Evolving Social Systems: Communication, Speciation and Symbiogenesis. Comput. Math. Organ. Theory Larry Bull
1999	J	`jnl`	On Model-Based Evolutionary Computation. Soft Comput. Larry Bull
1999	J	`jnl`	On the Baldwin Effect. Artif. Life Larry Bull
1999	J	`jnl`	On the Evolution of Multicellularity and Eusociality. Artif. Life Larry Bull
1999	A	`conf`	On using ZCS in a Simulated Continuous Double-Auction Market. GECCO Larry Bull
1998	A	`conf`	A Corporate Classifier System. PPSN Andy Tomlinson, Larry Bull
1998	—	`conf`	Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiB. Evolutionary Programming Manu Ahluwalia, Larry Bull
1998	—	`conf`	Evolutionary Computing in Multi-agent Environments: Operators. Evolutionary Programming Larry Bull
1998	A	`conf`	On ZCS in Multi-agent Environments. PPSN Larry Bull
1997	—	`conf`	Evolutionary Computation in Multi-Agent Environments: Partners. ICGA Larry Bull
1996	A	`conf`	Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis. PPSN Larry Bull, Terence C. Fogarty
1995	—	`conf`	Artificial Endosymbiosis. ECAL Larry Bull, Terence C. Fogarty, Anthony G. Pipe
1995	J	`jnl`	Artificial Symbiogenesis. Artif. Life Larry Bull, Terence C. Fogarty
1995	—	`—`	Artificial symbiology : evolution in cooperative multi-agent environments. Larry Bull
1995	—	`conf`	Classifier Systems: Selectionist Reinforcement Learning, Fuzzy Rules and Communication. BIES Terence C. Fogarty, Brian Carse, Larry Bull
1995	—	`conf`	Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot. ICGA Larry Bull, Terence C. Fogarty, M. Snaith
1994	—	`conf`	An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First Results. Evolutionary Computing, AISB Workshop Larry Bull, Terence C. Fogarty
1994	—	`conf`	Parallel Evolution of Communicating Classifier Systems. International Conference on Evolutionary Computation Larry Bull, Terence C. Fogarty