World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
62542
World Ranking
3711
National Ranking
37

Research.com Recognitions

  • 2018 - ACM Senior Member

Overview

Mauro Birattari is affiliated with the Université Libre de Bruxelles in Belgium. Their scientific work primarily focuses on the intersection of computer science and engineering, with particular expertise in mechanical engineering, artificial intelligence, and computer networks and communications.

Their research explores several main topics, including:

  • Modular Robots and Swarm Intelligence
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Robot Manipulation and Learning
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Slime Mold and Myxomycetes Research

Birattari has contributed to both theoretical and applied aspects of robot swarms and control software design. Their recent publications include:

  • "Swarm SLAM: Challenges and Perspectives," 2021, Frontiers in Robotics and AI
  • "Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms," 2021, Nature Communications
  • "Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms," 2020, Nature Machine Intelligence
  • "Automatic Design of Collective Behaviors for Robots that Can Display and Perceive Colors," 2020, Applied Sciences
  • "Phormica: Photochromic Pheromone Release and Detection System for Stigmergic Coordination in Robot Swarms," 2020, Frontiers in Robotics and AI

The venues where Birattari frequently publishes reflect their research interests and include:

  • arXiv (Cornell University)
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)
  • PeerJ Computer Science
  • Swarm and Evolutionary Computation

Birattari collaborates with several researchers in the field. Frequent co-authors include:

  • David Garzón Ramos
  • Antoine Ligot
  • Ken Hasselmann
  • Miquel Kegeleirs
  • Gianpiero Francesca

In recognition of their contributions, Birattari was designated as an ACM Senior Member in 2018.

Best Publications

  • Ant colony optimization: artificial ants as a computational intelligence technique

    Marco Dorigo;Mauro Birattari;Thomas Stützle

  • Ant Colony Optimization

    M. Dorigo;M. Birattari;T. Stutzle

  • Ant Colony Optimization.

    Marco Dorigo;Mauro Birattari

  • Swarm robotics: a review from the swarm engineering perspective

    Manuele Brambilla;Eliseo Ferrante;Mauro Birattari;Marco Dorigo

  • The irace package: Iterated racing for automatic algorithm configuration

    Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari

  • A Racing Algorithm for Configuring Metaheuristics

    Mauro Birattari;Thomas Stützle;Luis Paquete;Klaus Varrentrapp

  • ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems

    Carlo Pinciroli;Vito Trianni;Rehan O’Grady;Giovanni Pini

  • Improvement strategies for the F-Race algorithm: sampling design and iterative refinement

    Prasanna Balaprakash;Mauro Birattari;Thomas Stützle

  • Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

    Marco Dorigo;Dario Floreano;Luca Maria Gambardella;Francesco Mondada

  • F-race and iterated F-race: An overview

    Mauro Birattari;Zhi Yuan;Prasanna Balaprakash;Thomas Stützle

  • Ant Colony Optimization and Swarm Intelligence

    Marco Dorigo;Mauro Birattari;Christian Blum;Luca Maria Gambardella

  • Tuning Metaheuristics: A Machine Learning Perspective

    Mauro Birattari

  • Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

    M.A. Montes de Oca;T. Stutzle;M. Birattari;M. Dorigo

  • Model-based search for combinatorial optimization: A critical survey

    Mark Zlochin;Mauro Birattari;Nicolas Meuleau;Marco Dorigo

  • Lazy learning for local modelling and control design

    Gianluca Bontempi;Mauro Birattari;Hugues Bersini

  • A comparison of the performance of different metaheuristics on the timetabling problem

    Olivia Rossi-Doria;Michael Sampels;Mauro Birattari;Marco Chiarandini

  • Parameter Adaptation in Ant Colony Optimization

    Thomas Stützle;Manuel López-Ibáñez;Paola Pellegrini;Michael Maur

  • An effective hybrid algorithm for university course timetabling

    Marco Chiarandini;Mauro Birattari;Krzysztof Socha;Olivia Rossi-Doria

  • A comparison of the performance of different metaheuristics on the timetabling problem

    Olivia Rossi-Dorial;Michael Sampels;Mauro Birattari;Marco Chiarandini

  • The problem of tuning metaheuristics as seen from a machine learning perspective

    Mauro Birattari;Marco Dorigo

Frequent Co-Authors

Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Hugues Bersini
Hugues Bersini Université Libre de Bruxelles
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Vito Trianni
Vito Trianni National Research Council (CNR)
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University
Francesco Mondada
Francesco Mondada École Polytechnique Fédérale de Lausanne

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