World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
13517
World Ranking
7030
National Ranking
22

Overview

Michael O'Neill is affiliated with University College Dublin in Ireland and has contributed extensively to research primarily within the field of Computer Science. Their work spans several significant subfields, including Artificial Intelligence, Economics and Econometrics, Finance, Computational Theory and Mathematics, and Orthopedics and Sports Medicine.

The scientist's research topics cover a range of areas such as Evolutionary Algorithms and Applications, Sports Performance and Training, Complex Systems and Time Series Analysis, Advanced Multi-Objective Optimization Algorithms, Cardiovascular and Exercise Physiology, Financial Risk and Volatility Modeling, and Financial Markets and Investment Strategies.

Among recent publications, several notable papers include:

  • Accurate structure prediction of biomolecular interactions with AlphaFold 3, 2024, Nature
  • Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3, 2024, Nature
  • Evolutionary music: applying evolutionary computation to the art of creating music, 2020, Genetic Programming and Evolvable Machines
  • Adaptive Athlete Training Plan Generation: An intelligent control systems approach, 2021, Journal of Science and Medicine in Sport
  • Grammatical evolution for constraint synthesis for mixed-integer linear programming, 2021, Swarm and Evolutionary Computation

O'Neill collaborates frequently with several coauthors, including Mark Connor, Anthony Brabazon, Josh Abramson, Jonas Adler, and Jack Dunger.

The scientist's work has been published in multiple venues, with repeated contributions in the following:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Journal of Accounting Literature
  • Nature
  • Genetic Programming and Evolvable Machines

Best Publications

  • Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming

    Michael O'Neill

  • Grammatical evolution

    M. O'Neill;C. Ryan

  • Grammatical Evolution: Evolving Programs for an Arbitrary Language

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

  • Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language

    Michael O'Neill;Conor Ryan

  • Grammar-based Genetic Programming: a survey

    Robert I. Mckay;Nguyen Xuan Hoai;Peter Alexander Whigham;Yin Shan

  • Biologically Inspired Algorithms for Financial Modelling

    Anthony Brabazon;Michael O'Neill

  • Semantically-based crossover in genetic programming: application to real-valued symbolic regression

    Nguyen Quang Uy;Nguyen Xuan Hoai;Michael O'Neill;R. I. Mckay

  • Open issues in genetic programming

    Michael O'Neill;Leonardo Vanneschi;Steven Gustafson;Wolfgang Banzhaf

  • Foundations in Grammatical Evolution for Dynamic Environments

    Ian Dempsey;Michael O'Neill;Anthony Brabazon

  • Evolving levels for Super Mario Bros using grammatical evolution

    Noor Shaker;Miguel Nicolau;Georgios N. Yannakakis;Julian Togelius

  • Natural Computing Algorithms

    Anthony Brabazon;Michael O'Neill;Sen McGarraghy

  • Crossover in Grammatical Evolution

    Michael O'neill;Conor Ryan;Maarten Keijzer;Mike Cattolico

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

    Anthony Brabazon;Michael O'Neill

  • PonyGE2: grammatical evolution in Python

    Michael Fenton;James McDermott;David Fagan;Stefan Forstenlechner

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

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

  • Semantic Aware Crossover for Genetic Programming: The Case for Real-Valued Function Regression

    Quang Uy Nguyen;Xuan Hoai Nguyen;Michael O'Neill

  • 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

  • Introduction to Evolutionary Computing

    Anthony Brabazon;Michael O’Neill;Seán McGarraghy

Frequent Co-Authors

Anthony Brabazon
Anthony Brabazon University College Dublin
Holger Claussen
Holger Claussen Tyndall National Institute
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
Mike Preuss
Mike Preuss Leiden University
Ferrante Neri
Ferrante Neri University of Nottingham
Shengxiang Yang
Shengxiang Yang De Montfort University
Stefan Minner
Stefan Minner Technical University of Munich
Vladan Babovic
Vladan Babovic National University of Singapore
Christopher J. Bean
Christopher J. Bean Dublin Institute For Advanced Studies

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