2018 - ACM Senior Member
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.
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.
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.
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.
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Ant Colony Optimization
M. Dorigo;M. Birattari;T. Stutzle.
Ant colony optimization: artificial ants as a computational intelligence technique
Marco Dorigo;Mauro Birattari;Thomas Stützle.
IEEE Computational Intelligence Magazine (2006)
Ant Colony Optimization.
Marco Dorigo;Mauro Birattari.
Encyclopedia of Machine Learning (2010)
The irace package: Iterated racing for automatic algorithm configuration
Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari.
Operations Research Perspectives (2016)
Swarm robotics: a review from the swarm engineering perspective
Manuele Brambilla;Eliseo Ferrante;Mauro Birattari;Marco Dorigo.
Swarm Intelligence (2013)
A Racing Algorithm for Configuring Metaheuristics
Mauro Birattari;Thomas Stützle;Luis Paquete;Klaus Varrentrapp.
genetic and evolutionary computation conference (2002)
Ant Colony Optimization and Swarm Intelligence
Marco Dorigo;Mauro Birattari;Christian Blum;Luca Maria Gambardella.
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)
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems
Carlo Pinciroli;Vito Trianni;Rehan O’Grady;Giovanni Pini.
Swarm Intelligence (2012)
Tuning Metaheuristics: A Machine Learning Perspective
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