World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5825
World Ranking
10759
National Ranking
677

Overview

Larry Bull is affiliated with the University of the West of England in the United Kingdom, specializing in research within the field of Engineering. Their work primarily focuses on Civil and Structural Engineering, with additional contributions to Mechanical Engineering, Artificial Intelligence, Statistics, Probability and Uncertainty, and Environmental Engineering.

Their research covers several key topics including Structural Health Monitoring Techniques, Infrastructure Maintenance and Monitoring, Non-Destructive Testing Techniques, Probabilistic and Robust Engineering Design, Domain Adaptation and Few-Shot Learning, Concrete Corrosion and Durability, and Water Systems and Optimization.

Frequent publication venues for their work include arXiv (Cornell University), Mechanical Systems and Signal Processing, Journal of Sound and Vibration, Proceedings of the 13th International Workshop on Structural Health Monitoring, and Data-Centric Engineering.

Larry Bull has authored multiple papers, notable among them are:

  • Foundations of population-based SHM, Part I: Homogeneous populations and forms, 2020, Mechanical Systems and Signal Processing
  • Foundations of population-based SHM, Part III: Heterogeneous populations - Mapping and transfer, 2020, Mechanical Systems and Signal Processing
  • Foundations of Population-based SHM, Part II: Heterogeneous populations - Graphs, networks, and communities, 2020, Mechanical Systems and Signal Processing
  • On the transfer of damage detectors between structures: An experimental case study, 2021, Journal of Sound and Vibration
  • Towards semi-supervised and probabilistic classification in structural health monitoring, 2020, Mechanical Systems and Signal Processing

Frequent collaborators and coauthors in Larry Bull's research include Keith Worden, Nikolaos Dervilis, Paul Gardner, Elizabeth J. Cross, and Timothy J. Rogers. These collaborations reflect a networked approach to advancing knowledge in structural health monitoring and related engineering disciplines.

Best Publications

  • Learning Classifier Systems

    Larry Bull;Pier Luca Lanzi;Wolfgang Stolzmann

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • For real! XCS with continuous-valued inputs

    Christopher Stone;Larry Bull

  • Genetic Programming with a Genetic Algorithm for Feature Construction and Selection

    Matthew G. Smith;Larry Bull

  • Applications of Learning Classifier Systems

    Larry Bull

  • Foundations of Learning Classifier Systems: An Introduction

    Larry Bull;T. Kovacs

  • Foundations of Learning Classifier Systems

    Larry Bull;Tim Kovacs

  • Fuzzy-XCS: A Michigan Genetic Fuzzy System

    J. Casillas;B. Carse;L. Bull

  • Unconventional Computing 2007

    Andrew Adamatzky;Larry Bull;Ben De Lacy Costello;Susan Stepney

  • On meme—gene coevolution

    Larry Bull;Owen Holland;Susan Blackmore

  • Accuracy-based neuro and neuro-fuzzy classifier systems

    Larry Bull;Toby O'Hara

  • A Genetic Programming-based Classifier System.

    M. Ahluwalia;Larry Bull;W. Banzhaf

  • Evolutionary computing in multi-agent environments: Partners

    Larry Bull

  • Evolution of Plastic Learning in Spiking Networks via Memristive Connections

    Gerard Howard;E. Gale;L. Bull;B. de Lacy Costello

  • On Model-Based Evolutionary Computation

    Larry Bull

  • Feature construction and selection using genetic programming and a genetic algorithm

    Matthew G. Smith;Larry Bull

  • ZCS redux

    Larry Bull;Jacob Hurst

  • Learning Classifier Systems: A Brief Introduction

    Larry Bull

  • Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot

    Lawrence Bull;Terence C. Fogarty;M. Snaith

  • On the Baldwin effect

    Larry Bull

  • GECCO 2002: Proceedings of the genetic and evolutionary computation conference

    W.B. Langdon;E. Cant{ 'u}-Paz;K. Mathias;R. Roy

Frequent Co-Authors

Andrew Adamatzky
Andrew Adamatzky University of the West of England
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan
Uwe Aickelin
Uwe Aickelin University of Melbourne
Rajkumar Roy
Rajkumar Roy City, University of London
Alan F. T. Winfield
Alan F. T. Winfield University of the West of England
William B. Langdon
William B. Langdon University College London
Riccardo Poli
Riccardo Poli University of Essex
Ioannis Ieropoulos
Ioannis Ieropoulos University of Southampton
Vasant Honavar
Vasant Honavar Pennsylvania State University
Chris Melhuish
Chris Melhuish University of the West of England

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