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Computer Science

D-Index
64
Citations
16228
World Ranking
2603
National Ranking
153

Research.com Recognitions

  • 1963 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

William B. Langdon is affiliated with University College London in the United Kingdom and has focused their research primarily in the field of Computer Science, with a notable emphasis on Artificial Intelligence. Their work also touches on related subfields such as Molecular Biology, Software, Genetics, and Computational Theory and Mathematics.

Their research covers a range of topics that include:

  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Software Testing and Debugging Techniques
  • Evolution and Genetic Dynamics
  • Reinforcement Learning in Robotics
  • Software Engineering Research
  • Algorithms and Data Compression

William B. Langdon has contributed to multiple publication venues, among which the most frequent are:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • ACM SIGEVOlution
  • Genetic Programming and Evolvable Machines
  • ACM SIGSOFT Software Engineering Notes

Recent published papers by Langdon include:

  • "Genetic programming convergence," 2021, Genetic Programming and Evolvable Machines
  • "Long-Term Evolution Experiment with Genetic Programming," 2022, Artificial Life
  • "Dissipative polynomials," 2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • "Genetic Improvement of Data for Maths Functions," 2021, ACM Transactions on Evolutionary Learning and Optimization
  • "Failed disruption propagation in integer genetic programming," 2022, Proceedings of the Genetic and Evolutionary Computation Conference Companion

Collaborators who have frequently co-authored work with Langdon include:

  • Justyna Petke
  • Aymeric Blot
  • Oliver Krauss
  • David Clark
  • Héctor D. Menéndez

Among the recognitions, Langdon is listed as a Fellow of the American Association for the Advancement of Science (AAAS), awarded in 1963.

Best Publications

  • A Field Guide to Genetic Programming

    Riccardo Poli;William B. Langdon;Nicholas Freitag McPhee

  • Foundations of Genetic Programming

    William B. Langdon;Riccardo Poli

  • Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks

    William B. Langdon

  • Size fair and homologous tree genetic programming crossovers

    W. B. Langdon

  • Fitness Causes Bloat

    W. B. Langdon;R. Poli

  • Optimizing Existing Software With Genetic Programming

    William B. Langdon;Mark Harman

  • Schema theory for genetic programming with one-point crossover and point mutation

    Riccardo Poli;William B. Langdon

  • Genetic Improvement of Software: A Comprehensive Survey

    Justyna Petke;Saemundur O. Haraldsson;Mark Harman;William B. Langdon

  • BioRAT: extracting biological information from full-length papers

    David P. A. Corney;Bernard F. Buxton;William B. Langdon;David T. Jones

  • The evolution of size and shape

    William B. Langdon;Tery Soule;Riccardo Poli;James A. Foster

  • Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!

    William B. Langdon;Koza John R

  • Why Ants are Hard

    W. B. Langdon;R. Poli

  • Genetic programming and data structures

    William Benjamin Langdon

  • Size Fair and Homologous Tree Crossovers for Tree Genetic Programming

    W. B. Langdon

  • Proceedings of the Genetic and Evolutionary Computation Conference

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

  • Strong higher order mutation-based test data generation

    Mark Harman;Yue Jia;William B. Langdon

  • A SIMD interpreter for genetic programming on GPU graphics cards

    W. B. Langdon;Wolfgang Banzhaf

  • On the Search Properties of Different Crossover Operators in Genetic Programming

    Riccardo Poli;W.B. Langdon

  • Efficient multi-objective higher order mutation testing with genetic programming

    William B. Langdon;Mark Harman;Yue Jia

  • Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications

    William B. Langdon;Riccardo Poli;Nicholas Freitag McPhee;John R. Koza

  • Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation

    Lee Spector;Erik D. Goodman;Annie Wu;W. B. Langdon

  • Genetic Programming with One-Point Crossover and Point Mutation

    R Poli;WB Langdon

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

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

Frequent Co-Authors

Riccardo Poli
Riccardo Poli University of Essex
Mark Harman
Mark Harman University College London
Yue Jia
Yue Jia University College London
Wolfgang Banzhaf
Wolfgang Banzhaf Michigan State University
Westley Weimer
Westley Weimer University of Michigan–Ann Arbor
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
Julian F. Miller
Julian F. Miller University of York
Marco Tomassini
Marco Tomassini University of Lausanne
Rajkumar Roy
Rajkumar Roy City, University of London

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