World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5522
World Ranking
13020
National Ranking
46

Overview

Anthony Brabazon is affiliated with University College Dublin in Ireland. Their research spans multiple fields including Engineering, Computer Science, and Social Sciences. Within these areas, their work delves into several subfields such as Biomedical Engineering, Artificial Intelligence, Economics and Econometrics, Sociology and Political Science, and Cultural Studies.

The scientist's contributions focus on a number of main topics. These include Slime Mold and Myxomycetes Research, Evolutionary Algorithms and Applications, Evolutionary Game Theory and Cooperation, Language and Cultural Evolution, Topological and Geometric Data Analysis, Complex Systems and Time Series Analysis, and Stock Market Forecasting Methods.

Recent publications highlight their ongoing scientific exploration. Some notable papers are:

  • Slime mould foraging: an inspiration for algorithmic design, 2020, International Journal of Innovative Computing and Applications
  • Slime mould foraging: an inspiration for algorithmic design, 2020, International Journal of Innovative Computing and Applications
  • An exploration of asocial and social learning in the evolution of variable-length structures, 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Anthony Brabazon include:

  • Michael O'Neill
  • Seán McGarraghy
  • Nam Le

The scientist's work is frequently published in venues such as:

  • International Journal of Innovative Computing and Applications
  • arXiv (Cornell University)

Best Publications

  • Applications of Evolutionary Computing

    Mario Giacobini;Anthony Brabazon;Stefano Cagnoni;Gianni A. di Caro

  • Biologically Inspired Algorithms for Financial Modelling

    Anthony Brabazon;Michael O'Neill

  • Foundations in Grammatical Evolution for Dynamic Environments

    Ian Dempsey;Michael O'Neill;Anthony Brabazon

  • Natural Computing Algorithms

    Anthony Brabazon;Michael O'Neill;Sen McGarraghy

  • Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)

    Anthony Brabazon;Michael O'Neill

  • Evolving behaviour trees for the Mario AI competition using grammatical evolution

    Diego Perez;Miguel Nicolau;Michael O'Neill;Anthony Brabazon

  • Grammatical Differential Evolution.

    Michael O'Neill;Anthony Brabazon

  • Grammatical Swarm: The generation of programs by social programming

    Michael O'Neill;Anthony Brabazon

  • An Introduction to Evolutionary Computation in Finance

    A. Brabazon;M. O'Neill;I. Dempsey

  • GEVA: grammatical evolution in Java

    Michael O'Neill;Erik Hemberg;Conor Gilligan;Eliott Bartley

  • Evolving technical trading rules for spot foreign-exchange markets using grammatical evolution

    Anthony Brabazon;Michael O’Neill

  • A hybrid genetic model for the prediction of corporate failure

    Anthony Brabazon;Peter B. Keenan

  • Evolutionary design using grammatical evolution and shape grammars: designing a shelter

    Michael O'Neill;James McDermott;John Mark Swafford;Jonathan Byrne

  • Evolving Market Index Trading Rules Using Grammatical Evolution

    Michael O'Neill;Anthony Brabazon;Conor Ryan;J. J. Collins

  • Natural Computing in Computational Finance

    Anthony Brabazon;Michael O'Neill

  • Identifying online credit card fraud using Artificial Immune Systems

    Anthony Brabazon;Jane Cahill;Peter Keenan;Daniel Walsh

  • Evolutionary Behavior Tree Approaches for Navigating Platform Games

    Miguel Nicolau;Diego Perez-Liebana;Michael ONeill;Anthony Brabazon

  • Genotype representations in grammatical evolution

    Jonatan Hugosson;Erik Hemberg;Anthony Brabazon;Michael O'Neill

  • Defining locality as a problem difficulty measure in genetic programming

    Edgar Galván-López;James Mcdermott;Michael O'Neill;Anthony Brabazon

  • Neutrality in evolutionary algorithms... what do we know

    Edgar Galván-López;Riccardo Poli;Ahmed Kattan;Michael O’Neill

  • Introduction to Evolutionary Computing

    Anthony Brabazon;Michael O’Neill;Seán McGarraghy

Frequent Co-Authors

Michael O'Neill
Michael O'Neill University College Dublin
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Rolf Drechsler
Rolf Drechsler University of Bremen
Ferrante Neri
Ferrante Neri University of Nottingham
Shengxiang Yang
Shengxiang Yang De Montfort University
Mike Preuss
Mike Preuss Leiden University
Stefan Minner
Stefan Minner Technical University of Munich
Constantin Zopounidis
Constantin Zopounidis Technical University of Crete
Ali Allahverdi
Ali Allahverdi Gazi University
Chih-Min Lin
Chih-Min Lin Yuan Ze University

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