D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 48 Citations 42,318 209 World Ranking 3158 National Ranking 33

Research.com Recognitions

Awards & Achievements

2018 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Programming language

Mauro Birattari spends much of his time researching Artificial intelligence, Mathematical optimization, Ant colony optimization algorithms, Metaheuristic and Algorithm. His Artificial intelligence study frequently links to related topics such as Machine learning. The study incorporates disciplines such as Swarm intelligence and Optimization problem in addition to Ant colony optimization algorithms.

In general Optimization problem, his work in Extremal optimization is often linked to Foraging linking many areas of study. Mauro Birattari does research in Metaheuristic, focusing on Parallel metaheuristic specifically. His work carried out in the field of Algorithm brings together such families of science as Iterated function, Lazy learning and Model selection.

His most cited work include:

  • Ant Colony Optimization (6551 citations)
  • Ant colony optimization: artificial ants as a computational intelligence technique (1497 citations)
  • Swarm robotics: a review from the swarm engineering perspective (842 citations)

What are the main themes of his work throughout his whole career to date?

Mauro Birattari mostly deals with Artificial intelligence, Robot, Mathematical optimization, Swarm robotics and Metaheuristic. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Swarm intelligence and Machine learning. Within one scientific family, Mauro Birattari focuses on topics pertaining to Task under Robot, and may sometimes address concerns connected to Real-time computing.

His study ties his expertise on Algorithm together with the subject of Mathematical optimization. The various areas that Mauro Birattari examines in his Metaheuristic study include Optimization problem, 2-opt, Combinatorial optimization and Vehicle routing problem. His Ant colony optimization algorithms study incorporates themes from Meta-optimization and Extremal optimization.

He most often published in these fields:

  • Artificial intelligence (41.12%)
  • Robot (30.22%)
  • Mathematical optimization (25.86%)

What were the highlights of his more recent work (between 2013-2021)?

  • Robot (30.22%)
  • Swarm robotics (20.56%)
  • Artificial intelligence (41.12%)

In recent papers he was focusing on the following fields of study:

Mauro Birattari focuses on Robot, Swarm robotics, Artificial intelligence, Swarm behaviour and Simulation. His study in the field of Evolutionary robotics also crosses realms of Design methods. He has researched Artificial intelligence in several fields, including Semantics and Task.

He interconnects Swarm intelligence, Ant robotics and Random walk in the investigation of issues within Swarm behaviour. His Software engineering research incorporates themes from Optimization problem and Management science. His study focuses on the intersection of Ant colony optimization algorithms and fields such as Computation with connections in the field of Metaheuristic, Set and Mathematical optimization.

Between 2013 and 2021, his most popular works were:

  • The irace package: Iterated racing for automatic algorithm configuration (738 citations)
  • AutoMoDe: A novel approach to the automatic design of control software for robot swarms (81 citations)
  • Automatic design of robot swarms: achievements and challenges (58 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Algorithm

Mauro Birattari mainly focuses on Robot, Swarm robotics, Artificial intelligence, Swarm behaviour and Simulation. His Robot research is multidisciplinary, incorporating perspectives in Replicate and Human–computer interaction. His Swarm robotics research focuses on subjects like Software engineering, which are linked to Property, Model checking and Blueprint.

His Swarm behaviour study combines topics in areas such as Ant robotics and Robotics. His research ties Swarm intelligence and Ant robotics together. The Simulation study combines topics in areas such as Machine learning, Robustness, Mobile robot and Porting.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Ant Colony Optimization

M. Dorigo;M. Birattari;T. Stutzle.
(2004)

13231 Citations

Ant colony optimization: artificial ants as a computational intelligence technique

Marco Dorigo;Mauro Birattari;Thomas Stützle.
IEEE Computational Intelligence Magazine (2006)

13227 Citations

Ant Colony Optimization.

Marco Dorigo;Mauro Birattari.
Encyclopedia of Machine Learning (2010)

11495 Citations

The irace package: Iterated racing for automatic algorithm configuration

Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari.
Operations Research Perspectives (2016)

1120 Citations

Swarm robotics: a review from the swarm engineering perspective

Manuele Brambilla;Eliseo Ferrante;Mauro Birattari;Marco Dorigo.
Swarm Intelligence (2013)

1079 Citations

A Racing Algorithm for Configuring Metaheuristics

Mauro Birattari;Thomas Stützle;Luis Paquete;Klaus Varrentrapp.
genetic and evolutionary computation conference (2002)

676 Citations

Ant Colony Optimization and Swarm Intelligence

Marco Dorigo;Mauro Birattari;Christian Blum;Luca Maria Gambardella.
(2008)

437 Citations

F-race and iterated F-race: An overview

Mauro Birattari;Zhi Yuan;Prasanna Balaprakash;Thomas Stützle.
Experimental Methods for the Analysis of Optimization Algorithms (2010)

410 Citations

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

Carlo Pinciroli;Vito Trianni;Rehan O’Grady;Giovanni Pini.
Swarm Intelligence (2012)

404 Citations

Tuning Metaheuristics: A Machine Learning Perspective

Mauro Birattari.
(2009)

392 Citations

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