World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
14070
World Ranking
3809
National Ranking
72

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Marc Schoenauer is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans multiple subfields of computer science and engineering, emphasizing artificial intelligence and applications of evolutionary computation.

The main fields of study covered by their work include:

  • Computer Science
  • Engineering

Within these disciplines, they have contributed extensively to subfields such as:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computational Mechanics

The core topics of their research reflect a focus on optimization and machine learning methods, including:

  • Model Reduction and Neural Networks
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Advanced Graph Neural Networks
  • Advanced Multi-Objective Optimization Algorithms
  • Power System Optimization and Stability
  • Reinforcement Learning in Robotics

Marc Schoenauer has published papers in a variety of notable venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Artificial Life
  • Electric Power Systems Research
  • Computer Methods in Applied Mechanics and Engineering

Recent papers include:

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2020) - Artificial Life
  • Neural networks for power flow: Graph neural solver (2020) - Electric Power Systems Research
  • LEAP nets for system identification and application to power systems (2020) - Neurocomputing
  • CD-ROM: Complemented Deep - Reduced order model (2023) - Computer Methods in Applied Mechanics and Engineering
  • An implicit GNN solver for Poisson-like problems (2024) - Computers & Mathematics with Applications

They have collaborated frequently with several researchers, including:

  • Alessandro Leite
  • Mouadh Yagoubi
  • Mathurin Videau
  • Olivier Teytaud
  • Guillaume Charpiat

In addition to articles, Marc Schoenauer has contributed to book publications, notably:

  • Artificial Evolution (2020) published by Springer Science+Business Media

Best Publications

  • Evolutionary algorithms for constrained parameter optimization problems

    Zbigniew Michalewicz;Marc Schoenauer

  • Parallel Problem Solving from Nature — PPSN V

    Agoston E. Eiben;Thomas Bäck;Marc Schoenauer;Hans-Paul Schwefel

  • Parallel Problem Solving from Nature PPSN VI

    Marc Schoenauer;Kalyanmoy Deb;Günther Rudolph;Xin Yao

  • Parameter Control in Evolutionary Algorithms

    A. E. Eiben;Zbigniew Michalewicz;Marc Schoenauer;James E. Smith

  • Evolutionary algorithms for constrained engineering problems

    Zbigniew Michalewicz;Dipankar Dasgupta;Rodolphe G. Le Riche;Marc Schoenauer

  • The grand challenge of computer Go: Monte Carlo tree search and extensions

    Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

  • Evolving Objects: A General Purpose Evolutionary Computation Library

    Maarten Keijzer;Juan J. Merelo Guervós;Gustavo Romero;Marc Schoenauer

  • ASCHEA: new results using adaptive segregational constraint handling

    S. Ben Hamida;M. Schoenauer

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • Evolutionary Computing

    Aguston E. Eiben;Marc Schoenauer

  • Evolving objects: A general purpose evolutionary computation library

    M. Keijzer;J. J. Merelo;G. Romero;Marc Schoenauer

  • Rigorous hitting times for binary mutations

    Josselin Garnier;Leila Kallel;Marc Schoenauer

  • Evolutionary Computation at the Edge of Feasibility

    Marc Schoenauer;Zbigniew Michalewicz

  • Adaptive operator selection with dynamic multi-armed bandits

    Luis DaCosta;Alvaro Fialho;Marc Schoenauer;Michèle Sebag

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • Analyzing bandit-based adaptive operator selection mechanisms

    Álvaro Fialho;Luis Da Costa;Marc Schoenauer;Michèle Sebag

  • Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

    Nikolaus Hansen;Raymond Ros;Nikolas Mauny;Marc Schoenauer

  • Synthesis of optical multilayer systems using genetic algorithms

    S. Martin;J. Rivory;M. Schoenauer

  • APRIL: active preference learning-based reinforcement learning

    Riad Akrour;Marc Schoenauer;Michèle Sebag

  • Evolutionary computing

    Unknown

Frequent Co-Authors

Michèle Sebag
Michèle Sebag University of Paris-Saclay
Anne Auger
Anne Auger École Polytechnique
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Nikolaus Hansen
Nikolaus Hansen École Polytechnique
Sylvain Gelly
Sylvain Gelly Google (United States)
Zbigniew Michalewicz
Zbigniew Michalewicz University of Adelaide
Marco Tomassini
Marco Tomassini University of Lausanne
Jin-Kao Hao
Jin-Kao Hao University of Angers
Gabriela Ochoa
Gabriela Ochoa University of Stirling

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