Mauro Birattari

Mauro Birattari, Gianluca Bontempi, Edy Bertolissi, 2000, Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520).

A critical analysis of parameter adaptation in ant colony optimization

Thomas Stützle, Mauro Birattari, Paola Pellegrini, 2011, Swarm Intelligence.

AutoMoDe-Gianduja: Automatic design of robot swarms, an experiment on communication

Mauro Birattari, Ken Hasselmann, Frédéric Robert, 2017 .

Lazy Learning Vs. Speedy Gonzales: A fast algorithm for recursive identification and recursive valid

Mauro Birattari, Gianluca Bontempi, 1999 .

AutoMoDe-Arlequin: Neural Networks as Behavioral Modules for the Automatic Design of Probabilistic Finite-State Machines

Mauro Birattari, Ken Hasselmann, Antoine Ligot, 2020, ANTS Conference.

Lazy learning for modeling and control design

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1997 .

Information transfer in a flocking robot swarm

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2013 .

Closed-Loop Aerial Robot-Assisted Navigation of a Cohesive Ground-Based Robot Swarm

Eliseo Ferrante, Mauro Birattari, Ali Emre Turgut, 2011 .

Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2010, 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

Simulated Annealing as an Optimization Algorithm in the Automatic Modular Design of Robot Swarms

Mauro Birattari, Jonas Kuckling, Keneth Ubeda Arriaza, 2019, BNAIC/BENELEARN.

Model-Based Search for Combinatorial Optimization: A Critical Survey

Mauro Birattari, Marco Dorigo, Mark Zlochin, 2004, Ann. Oper. Res..

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

Eliseo Ferrante, Thomas Stützle, Luca Maria Gambardella, 2013, IEEE Robotics & Automation Magazine.

On the Invariance of Ant Colony Optimization

Mauro Birattari, Marco Dorigo, Paola Pellegrini, 2007, IEEE Transactions on Evolutionary Computation.

Parameter Adaptation in Ant Colony Optimization

Thomas Stützle, Mauro Birattari, Manuel López-Ibáñez, 2012, Autonomous Search.

Reactive Stochastic Local Search Algorithms for the Genomic Median Problem

Thomas Stützle, Mauro Birattari, Christine Solnon, 2007, EvoCOP.

Self-Organized Collective Decision-Making

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2010 .

A multi-objective ant colony optimization method applied to switch engine scheduling in railroad yards

Mauro Birattari, José Eugenio Leal, Thomas Stützle, 2010 .

Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2009, IEEE Transactions on Evolutionary Computation.

State Space Properties of Boolean Networks Trained for Sequence Tasks

Mauro Birattari, Andrea Roli, Carlo Pinciroli, 2013 .

Dynamical Properties of Artificially Evolved Boolean Network Robots

Mauro Birattari, Roberto Serra, Andrea Roli, 2015, AI*IA.

Lazy Learners at work: the Lazy Learning Toolbox

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1999 .

Implementation Effort and Performance

Mauro Birattari, Paola Pellegrini, M. Birattari, 2007, SLS.

Combining Dynamic Programming and Neurocontrol: Some Basic Issues

Mauro Birattari, Marco Dorigo, Hugues Bersini, 1997 .

Experiments and Applications

Mauro Birattari, 2009 .

Mixed-Effects Modeling of Optimisation Algorithm Performance

Mauro Birattari, Catherine Legrand, Matteo Gagliolo, 2009, SLS.

On the Performance Analysis of Particle Swarm Optimisers

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006 .

Tuning Metaheuristics - A Machine Learning Perspective

Mauro Birattari, M. Birattari, 2009, Studies in Computational Intelligence.

Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings (Lecture ... Computer Science and General Issues)

Mauro Birattari, Marco Dorigo, Christian Blum, 2008 .

On the Invariance of Ant System

Mauro Birattari, Marco Dorigo, Paola Pellegrini, 2006, ANTS Workshop.

Interference Reduction through Task Partitioning in a Robotic Swarm - Or: "Don't you Step on My Blue Suede Shoes!"

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2009, ICINCO-RA.

Toolbox for neuro-fuzzy Identification and data analysis, for use with matlab

Mauro Birattari, Gianluca Bontempi, 1999 .

Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2008, Recent Advances in Evolutionary Computation for Combinatorial Optimization.

ARGoS: a modular and multi-engine simulator for multi-robot systems

Mauro Birattari, Marco Dorigo, Carlo Pinciroli, 2014 .

A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006, ANTS Workshop.

Task partitioning in a robot swarm: a study on the effect of communication

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2013, Swarm Intelligence.

Autonomous task sequencing in a robot swarm

Mauro Birattari, Lorenzo Garattoni, M. Birattari, 2018, Science Robotics.

Adaptive sample size and importance sampling in estimation-based local search for stochastic combinatorial optimization: A complete analysis

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2007 .

Applications of estimation-based SLS algorithms to the stochastic routing problems

Pierre Hansen, Thomas Stützle, Prasanna Balaprakash, 2008 .

Adaptive memory based regression methods

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A reliable distributed algorithm for group size estimation with minimal communication requirements

Mauro Birattari, Marco Dorigo, Carlo Pinciroli, 2009, 2009 International Conference on Advanced Robotics.

An effective hybrid algorithm for university course timetabling

Mauro Birattari, Marco Chiarandini, Olivia Rossi-Doria, 2006, J. Sched..

Dynamical regimes and learning properties of evolved Boolean networks

Mauro Birattari, Roberto Serra, Andrea Roli, 2013, Neurocomputing.

Estimation-based metaheuristics for the single vehicle routing problem with stochastic demands and customers

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2015, Comput. Optim. Appl..

Combining F-Race and mesh adaptive direct search for automatic algorithm configuration

Thomas Stützle, Mauro Birattari, Zhi Yuan, 2009 .

Swarm Intelligence, 8th International Conference, ANTS 2012

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2012 .

Invention vs. Discovery

Mauro Birattari, Carlotta Piscopo, M. Birattari, 2002, Discovery Science.

Negotiation of Goal Direction for Cooperative Transport

Mauro Birattari, Marco Dorigo, Roderich Groß, 2006, ANTS Workshop.

SLS-DS 2007: Doctoral symposium on engineering stochastic local search algorithms

Thomas Stützle, Mauro Birattari, Holger H. Hoos, 2007 .

Temporal Task Allocation in Periodic Environments - An Approach Based on Synchronization

Mauro Birattari, Arne Brutschy, Manuel Castillo-Cagigal, 2014, ANTS Conference.

On Mimicking the Effects of the Reality Gap with Simulation-Only Experiments

Mauro Birattari, Antoine Ligot, M. Birattari, 2018, ANTS Conference.

The role of explicit alignment in self-organized flocking

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2010 .

An Experiment in Automatic Design of Robot Swarms - AutoMoDe-Vanilla, EvoStick, and Human Experts

Mauro Birattari, Andreagiovanni Reina, Arne Brutschy, 2014, ANTS Conference.

ANTS 2012 special issue

Andries Petrus Engelbrecht, Thomas Stützle, Mauro Birattari, 2013, Swarm Intelligence.

Task Partitioning in Swarms of Robots: Reducing Performance Losses Due to Interference at Shared Resources

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2011 .

Concurrent design of control software and configuration of hardware for robot swarms under economic constraints

Mauro Birattari, Antoine Ligot, Muhammad Salman, 2019, PeerJ Comput. Sci..

F-Races: A tool for the automatic configuration of stochastic local search algorithms

Thomas Stützle, Mauro Birattari, M. Birattari, 2006 .

An Absorbing Markov Chain to Model Consensus

Mauro Birattari, Marco Dorigo, Gabriele Valentini, 2012 .

Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2002, Fuzzy Sets Syst..

Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008. Proceedings

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2008, ANTS Conference.

Communication policies for a parallel multi-colony ACO algorithm with identical colonies

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2007 .

Model-based Search for Combinatorial Optimization

Mauro Birattari, Marco Dorigo, Mark Zlochin, 2001 .

ARGoS: Un simulatore modulare e multi-motore per sistemi multi-robot

Mauro Birattari, Marco Dorigo, Carlo Pinciroli, 2014 .

Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms

Mauro Birattari, Ken Hasselmann, Antoine Ligot, 2020, Nat. Mach. Intell..

Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms

Thomas Stützle, Mauro Birattari, Zhi Yuan, 2011, Swarm Intelligence.

Implementation effort and performance: a comparison of custom and out-of-the-box metaheuristics on the vehicle routing problem with stochastic demand

Mauro Birattari, Paola Pellegrini, M. Birattari, 2007 .

Data-Driven Techniques for Divide and Conquer Adaptive Control

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2000 .

Swarm Intelligence

Mauro Birattari, Gianni A. Di Caro Marco Dorigo, M. Dorigo, 2012, Lecture Notes in Computer Science.

“Can ants inspire robots?” Self-organized decision making in robotic swarms

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

An effective hybrid approach for the university course timetabling problem

Mauro Birattari, Marco Chiarandini, Olivia Rossi-Doria, 2003 .

Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2007, Hybrid Metaheuristics.

Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006. Proceedings

Thomas Stützle, Riccardo Poli, Luca Maria Gambardella, 2006 .

Complexity Measures in Automatic Design of Robot Swarms: An Exploratory Study

Mauro Birattari, Andrea Roli, Antoine Ligot, 2017, WIVACE.

Automatic modular design of robot swarms using behavior trees as a control architecture

Mauro Birattari, Darko Bozhinoski, Antoine Ligot, 2020, PeerJ Comput. Sci..

Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2006, ANTS Workshop.

An experimental study of estimation-based metaheuristics for the probabilistic traveling salesman problem

Thomas Stützle, Roberto Battiti, Prasanna Balaprakash, 2007 .

The lazy package for R. Lazy learning for local regression

Mauro Birattari, Gianluca Bontempi, 2003 .

Socially-Mediated Negotiation for Obstacle Avoidance in Collective Transport

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2010, DARS.

An analysis of parameter adaptation in reactive tabu search

Thomas Stützle, Mauro Birattari, Paola Pellegrini, 2014, Int. Trans. Oper. Res..

Swarm robotics

Mauro Birattari, Marco Dorigo, Manuele Brambilla, 2014, Scholarpedia.

Estimation-based Metaheuristics for Stochastic Combinatorial Optimization:

Prasanna Balaprakash, Mauro Birattari, Marco Dorigo, 2010 .

The Lazy Learning Toolbox. For Use with Matlab

Mauro Birattari, Gianluca Bontempi, 1999 .

On the sensitivity of reactive tabu search to its meta-parameters

Thomas Stützle, Mauro Birattari, Paola Pellegrini, 2013, Soft Computing.

ANTS 2016 special issue: Editorial

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2017, Swarm Intelligence.

A swarm robotics approach to task allocation under soft deadlines and negligible switching costs

Mauro Birattari, Heiko Hamann, Yara Khaluf, 2014 .

Property-Driven Design for Robot Swarms: A Design Method Based on Prescriptive Modeling and Model Checking

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2015, TAAS.

GECCO 2007: Genetic and Evolutionary Computation Conference

Thomas Stützle, Riccardo Poli, Mauro Birattari, 2007 .

Automatic Synthesis of Fault Detection Modules for Mobile Robots

Mauro Birattari, Anders Lyhne Christensen, Marco Dorigo, 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).

ANTS 2018 special issue: Editorial

Mauro Birattari, Christian Blum, Andreagiovanni Reina, 2019, Swarm Intelligence.

Multiple models for adaptive control: the lazy and the fuzzy approach

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2000 .

Swarm Intelligence – 11th International Conference, ANTS 2018, Proceedings, 11172

Mauro Birattari, Marco Dorigo, Christian Blum, 2018 .

Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2009, Swarm Intelligence.

Composing particle swarm optimization algorithms

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2007 .

Optimal Collective Decision-Making through Social Influence and Different Action Execution Times

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2009 .

Opinion Dynamics for Decentralized Decision-Making in a Robot Swarm

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2010, ANTS Conference.

A multi-steap ahead prediction method based on local dynamic properties

Mauro Birattari, Gianluca Bontempi, 2000, ESANN.

Collective Transport with Obstacle Avoidance through Socially-Mediated Negotiation

Mauro Birattari, Marco Dorigo, Manuele Brambilla, 2011 .

An analysis of post-selection in automatic configuration

Thomas Stützle, Mauro Birattari, Zhi Yuan, 2013, GECCO '13.

Ant colony optimization and swarm intelligence : 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004 : proceedings

Thomas Stützle, Luca Maria Gambardella, Mauro Birattari, 2004 .

Self-organized task allocation to sequentially interdependent tasks in swarm robotics

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2012, Autonomous Agents and Multi-Agent Systems.

ANTS 2010 special issue

Andries Petrus Engelbrecht, Thomas Stützle, Luca Maria Gambardella, 2011, Swarm Intelligence.

Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making

Mauro Birattari, Marco Dorigo, Gianpiero Francesca, 2012, SAB.

How to assess and report the performance of a stochastic algorithm on a benchmark problem: mean or best result on a number of runs?

Mauro Birattari, Marco Dorigo, 2007, Optim. Lett..

Self-organized Task Partitioning in a Swarm of Robots

Mauro Birattari, Marco Dorigo, Andrea Roli, 2010, ANTS Conference.

A Preliminary Study on BN-Robots' Dynamics

Mauro Birattari, Roberto Serra, Andrea Roli, 2012 .

Modular automatic design of collective behaviors for robots endowed with local communication capabilities

Mauro Birattari, Ken Hasselmann, M. Birattari, 2020, PeerJ Comput. Sci..

Toward the Formal Foundation of Ant Programming

Mauro Birattari, Marco Dorigo, Gianni A. Di Caro, 2002, Ant Algorithms.

Analysis of long-term swarm performance based on short-term experiments

Mauro Birattari, Franz-Josef Rammig, Yara Khaluf, 2016, Soft Comput..

Tuning MAX{MIN Ant System with o-line and on-line methods

Mauro Birattari, Paola Pellegrini, Thomas St, 2010 .

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

Eliseo Ferrante, Luca Maria Gambardella, Mauro Birattari, 2012, Swarm Intelligence.

A Case Study in Estimation-based Local Search for the Probabilistic Traveling Salesman Problem

Prasanna Balaprakash, Mauro Birattari, Thomas St, 2007 .

A bound on the cross-validation estimate for algorithm assessment

Mauro Birattari, Eric Postma, Marc Gyssens, 1999 .

Towards a Formal Verification Methodology for Collective Robotic Systems

Mauro Birattari, Marco Dorigo, Francesco Tiezzi, 2012, ICFEM.

Is readability compatible with accuracy ? From Neuro-Fuzzy to Lazy Learning

Mauro Birattari, Hugues Bersini, Wilfried Brauer, 1998 .

Off-line vs. on-line tuning: a study on MAX–MIN ant system for the TSP

Thomas Stützle, Mauro Birattari, Paola Pellegrini, 2010, ICSI 2010.

Applying stochastic local search methods to timetabling: an engineering process

Thomas Stützle, Mauro Birattari, Marco Chiarandini, 2005 .

Iterative improvement in the automatic modular design of robot swarms

Mauro Birattari, Thomas Stützle, Jonas Kuckling, 2020, PeerJ Comput. Sci..

An Insect-Based Algorithm for the Dynamic Task Allocation Problem

Mauro Birattari, Marco Dorigo, Roberto Ghizzioli, 2005, Künstliche Intell..

Analysing Robot Swarm Decision-Making with Bio-PEPA

Diego Latella, Mieke Massink, Mauro Birattari, 2012, ANTS.

F-Race for Tuning Metaheuristics

Mauro Birattari, 2009 .

Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms

Mauro Birattari, Andrea Roli, Antoine Ligot, 2019, Front. Robot. AI.

Frankenstein’s PSO: An Engineered Composite Particle Swarm Optimization Algorithm

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2007 .

On the design and implementation of an accurate, efficient, and flexible simulator for heterogeneous swarm robotics systems

Mauro Birattari, Marco Dorigo, Carlo Pinciroli, 2014 .

Iterated Racing for Automatic Algorithm Configuration [R package irace version 3.4.1]

Leslie Pérez Cáceres, Thomas Stützle, Mauro Birattari, 2020 .

Swarm robotics: a review from the swarm engineering perspective

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2013, Swarm Intelligence.

Probabilistic Analysis of Long-Term Swarm Performance under Spatial Interferences

Mauro Birattari, Franz-Josef Rammig, Yara Khaluf, 2013, TPNC.

On the use of Bio-PEPA for modelling and analysing collective behaviours in swarm robotics

Diego Latella, Mieke Massink, Mauro Birattari, 2013, Swarm Intelligence.

Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2012, ANTS.

Swarm Intelligence

Mauro Birattari, Marco Dorigo, M. Dorigo, 2012, Lecture Notes in Computer Science.

Off-line vs. On-line Tuning: A Study on MAX-MIN\mathcal{MAX--MIN} Ant System for the TSP

Thomas Stützle, Mauro Birattari, Paola Pellegrini, 2010, ANTS Conference.

Some philosophical issues about the treatment of uncertainty in artificial intelligence

Mauro Birattari, Alessandro Saffiotti, Carlotta Piscopo, 2001 .

An Ant-Based Algorithm for the Heterogeneous Dynamic Task Allocation Problem

Mauro Birattari, Marco Dorigo, Shervin Nouyan, 2005 .

Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings (Lecture Notes in Computer Science)

Thomas Stützle, Riccardo Poli, Luca Maria Gambardella, 2006 .

Swarm Intelligence

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2011, Lecture Notes in Computer Science.

Adaptive task partitioning in swarms of homogeneous robots

Mauro Birattari, Marco Dorigo, Andrea Roli, 2010 .

Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites

Mauro Birattari, Marco Dorigo, Dario Izzo, 2008, 2008 NASA/ESA Conference on Adaptive Hardware and Systems.

Formal methods for the design and analysis of robot swarms

Mauro Birattari, Marco Dorigo, Manuele Brambilla, 2014 .

Combining lazy learning, racing and subsampling for effective feature selection

Mauro Birattari, Gianluca Bontempi, Patrick E. Meyer, 2005 .

Video Proceedings of AAAI Video Competition 2012

Mauro Birattari, Marco Dorigo, Rehan O'Grady, 2012 .

ANTS 2012 special issue - Editorial

Andries Petrus Engelbrecht, Thomas Stützle, Mauro Birattari, 2013, Swarm Intelligence.

Ant Colony Optimization and Swarm Intelligence: 4th International Workshop , ANTS 2004. Proceedings

Thomas Stützle, Luca Maria Gambardella, Francesco Mondada, 2004 .

Estimation-based stochastic local search algorithms for the stochastic routing problems

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2008 .

The Metaphysical Character of the Criticisms Raised Against the Use of Probability for Dealing with Uncertainty in Artificial Intelligence

Mauro Birattari, Carlotta Piscopo, M. Birattari, 2008, Minds and Machines.

Towards autonomous task partitioning in swarm robotics: experiments with foraging robots

Mauro Birattari, Marco Dorigo, Giovanni Pini, 2013 .

Task Partitioning in Swarm Robotics as a Multi-Armed Bandit Problem

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2011 .

Recursive Lazy Learning for Modeling and Control

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, ECML.

Phormica: Photochromic Pheromone Release and Detection System for Stigmergic Coordination in Robot Swarms

Mauro Birattari, David Garzón-Ramos, Ken Hasselmann, 2020, Frontiers in Robotics and AI.

A study of stochastic local search algorithms for the quadratic assignment problem

Thomas Stützle, Mauro Birattari, Holger H. Hoos, 2007 .

Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings

Thomas Stützle, Riccardo Poli, Luca Maria Gambardella, 2006, ANTS Workshop.

A study of ant colony optimization algorithms for a biobjective permutation flowshop problem

Thomas Stützle, Mauro Birattari, Yves De Smet, 2007 .

Swarm Intelligence: 7th International Conference, ANTS 2010. Proceedings

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2010 .

Boolean network robotics as an intermediate step in the synthesis of finite state machines for robot control

Mauro Birattari, Andrea Roli, Carlo Pinciroli, 2013, ECAL.

Swarm Intelligence

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2014, Lecture Notes in Computer Science.

Simulated Annealing as an Optimization Algorithm in the Automatic Modular Design of Control Software for Robot Swarms

Mauro Birattari, Jonas Kuckling, Keneth Ubeda Arriaza, 2019 .

Parallel Ant Colony Optimization for the Traveling Salesman Problem

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006, ANTS Workshop.

Learning Graphical Models for Parameter Tuning

Thomas Stützle, Mauro Birattari, Marco Saerens, 2011 .

Random Walk Exploration for Swarm Mapping

Mauro Birattari, David Garzón-Ramos, Miquel Kegeleirs, 2019, TAROS.

The irace Package: Iterated Race for Automatic Algorithm

Mauro Birattari, M. Birattari, 2011 .

Lazy learning: a logical method for supervised learning

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2002 .

Observing the Effects of Overdesign in the Automatic Design of Control Software for Robot Swarms

Mauro Birattari, Gianpiero Francesca, Brian Delhaisse, 2016, ANTS Conference.

Ant colony optimization: artificial ants as a computational intelligence technique

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006 .

Approximate Dynamic Programming

Geoffrey I. Webb, Stephen Grossberg, Mauro Birattari, 2011 .

Background and State-of-the-Art

Mauro Birattari, 2009 .

Invention vs. discovery. A critical discussion

Mauro Birattari, Carlotta Piscopo, 2002 .

Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarms

Mauro Birattari, Darko Bozhinoski, Antoine Ligot, 2018, ANTS Conference.

Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods

Mauro Birattari, Marco Dorigo, Mark Zlochin, 2002, EvoWorkshops.

The IRIDIA TAM: A device for task abstraction for the e-puck robot

Mauro Birattari, Arne Brutschy, Nadir Baiboun, 2010 .

Automatic Design of Communication-Based Behaviors for Robot Swarms

Mauro Birattari, Frédéric Robert, Ken Hasselmann, 2018, ANTS Conference.

F-Race and Iterated F-Race: An Overview

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2010, Experimental Methods for the Analysis of Optimization Algorithms.

Swarm Intelligence. Proceedings of the 7th International Conference, ANTS 2010

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2010 .

Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters

Thomas Stützle, Mauro Birattari, Zhi Yuan, 2010, ANTS Conference.

Comparison of Different Exploration Schemes in the Automatic Modular Design of Robot Swarms

Mauro Birattari, David Garzón-Ramos, Miquel Kegeleirs, 2019, BNAIC/BENELEARN.

The irace package: Iterated racing for automatic algorithm configuration

Leslie Pérez Cáceres, Thomas Stützle, Mauro Birattari, 2016 .

Explicit and Implicit Directional Information Transfer in Collective Motion

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2012 .

Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008. Proceedings

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2008 .

Parallel multicolony aco algorithm with exchange of solutions

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006 .

Local Learning for Iterated Time-Series Prediction

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1999, ICML.

Hybrid Metaheuristics for the Vehicle Routing Problem with Stochastic Demands

Mauro Birattari, Luís Paquete, Tommaso Schiavinotto, 2005, J. Math. Model. Algorithms.

ACO Applied to Switch Engine Scheduling in a Railroad Yard

Thomas Stützle, Mauro Birattari, José Eugênio Leal, 2006, ANTS Workshop.

Lazy Learning Meets the Recursive Least Squares Algorithm

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, NIPS.

Identification of Dynamical Structures in Artificial Brains: An Analysis of Boolean Network Controlled Robots

Mauro Birattari, Roberto Serra, Andrea Roli, 2013, AI*IA.

Effective Estimation-based Stochastic Local Search Algorithms for Stochastic Routing Problems

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2010 .

Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making

Eliseo Ferrante, Mauro Birattari, Marco Dorigo, 2011, Swarm Intelligence.

Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2008, INFORMS J. Comput..

Automatic Design of Collective Behaviors for Robots that Can Display and Perceive Colors

Mauro Birattari, David Garzón Ramos, M. Birattari, 2020, Applied Sciences.

The ACO/F-Race Algorithm for Combinatorial Optimization Under Uncertainty

Prasanna Balaprakash, Mauro Birattari, Marco Dorigo, 2007, Metaheuristics.

Lazy learning for control design

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, ESANN.

Applications Metaheuristics for the Vehicle Routing Problem with Stochastic Demands

Mauro Birattari, Tommaso Schiavinotto, Marco Chiarandini, 2004, PPSN.

Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP

Thomas Stützle, Mauro Birattari, Gianpiero Francesca, 2011, EvoCOP.

On the Design of Boolean Network Robots

Mauro Birattari, Andrea Roli, Carlo Pinciroli, 2011, EvoApplications.

The local paradigm for modeling and control: from neuro-fuzzy to lazy learning

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2001, Fuzzy Sets Syst..

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings

Thomas Stützle, Mauro Birattari, Holger H. Hoos, 2009, SLS.

Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms

Mauro Birattari, Antoine Ligot, M. Birattari, 2019, Swarm Intelligence.

Automated Algorithm Tuning using F-races: Recent Developments

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2009 .

Lazy learning indirect control for discrete time non-linear systems

Mauro Birattari, Gianluca Bontempi, T. A. Johansen, 1997 .

Costs and Benefits of Behavioral Specialization

Mauro Birattari, Marco Dorigo, Andrea Roli, 2011, TAROS.

Fault detection in autonomous robots based on fault injection and learning

Mauro Birattari, Anders Lyhne Christensen, Marco Dorigo, 2008, Auton. Robots.

Automatic Design of Robot Swarms: Achievements and Challenges

Mauro Birattari, Gianpiero Francesca, M. Birattari, 2016, Front. Robot. AI.

The problem of tuning metaheuristics: as seen from the machine learning perspective

Mauro Birattari, M. Birattari, 2004 .

The TAM: abstracting complex tasks in swarm robotics research

Mauro Birattari, Marco Dorigo, Arne Brutschy, 2015, Swarm Intelligence.

Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, 2nd International Workshop

Thomas Stützle, Mauro Birattari, Holger H. Hoos, 2007 .

Automatic Off-Line Design of Robot Swarms: A Manifesto

Thomas Stützle, Mauro Birattari, Andrea Roli, 2019, Front. Robot. AI.

Exogenous Fault Detection in a Collective Robotic Task

Mauro Birattari, Anders Lyhne Christensen, Marco Dorigo, 2007, ECAL.

Swarmanoid, The Movie

Eliseo Ferrante, Thomas Stützle, Luca Maria Gambardella, 2011, AAAI Conference on Artificial Intelligence.

Local learning for data analysis

Mauro Birattari, Hugues Bersini, Wouter Van den Broeck, 1998 .

Tuning Algorithms for Tackling Large Instances: An Experimental Protocol

Thomas Stützle, Mauro Birattari, Franco Mascia, 2013, LION.

Out-of-the-Box and Custom Implementation of Metaheuristics. A Case Study: The Vehicle Routing Problem with Stochastic Demand

Mauro Birattari, Paola Pellegrini, M. Birattari, 2011, Intelligent Computational Optimization in Engineering.

Towards a theory of practice in metaheuristics design: A machine learning perspective

Mauro Birattari, Marco Dorigo, Mark Zlochin, 2006, RAIRO Theor. Informatics Appl..

International timetabling competition: A hybrid approach

Mauro Birattari, Marco Chiarandini, Krzysztof Socha, 2003 .

Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics

Thomas Stützle, Mauro Birattari, Holger H. Hoos, 2007 .

Swarm SLAM: Challenges and Perspectives

Mauro Birattari, Giorgio Grisetti, Miquel Kegeleirs, 2021, Frontiers in Robotics and AI.

AutoMoDe: A Modular Approach to the Automatic Off-Line Design and Fine-Tuning of Control Software for Robot Swarms

Mauro Birattari, Gianpiero Francesca, Antoine Ligot, 2021, Automated Design of Machine Learning and Search Algorithms.

Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites

Mauro Birattari, Jonas Kuckling, Vincent van Pelt, 2021, EvoApplications.

Towards an integrated automatic design process for robot swarms

Mauro Birattari, Darko Bozhinoski, 2021, Open Research Europe.

Off-Policy Evaluation of the Performance of a Robot Swarm: Importance Sampling to Assess Potential Modifications to the Finite-State Machine That Controls the Robots

Mauro Birattari, Federico Pagnozzi, M. Birattari, 2021, Frontiers in Robotics and AI.

Estimation-based Local Search for the Probabilistic Traveling Salesman Problem

Thomas Stützle, Prasanna Balaprakash, Mauro Birattari, 2007 .

The Swarm/Potential Model: Modeling Robotics Swarms with Measure-valued Recursions Associated to Random Finite Sets

Mauro Birattari, Michele Pace, Marco Dorigo, 2013 .

A metaheuristic multi-criteria optimisation approach to portfolio selection

Thomas Stützle, Mauro Birattari, G. Di Tollo, 2014 .

Evolving a Collective Consciousness for a Swarm of Pico-Satellites Final Report

Mauro Birattari, Elio Tuci, Marco Dorigo, 2008 .

For a formal foundation of the Ant Programming approach to combinatorial optimization: Part 1: The problem, the representation, and the general solution strategy

Mauro Birattari, Gianni A. Di Caro, Marco Dorigo, 2000 .

Research on the vehicle routing problem with stochastic demand

Mauro Birattari, Luís Paquete, Marco Chiarandini, 2004 .

Ant colony optimization

Thomas Stützle, Mauro Birattari, Marco Dorigo, 2006, IEEE Computational Intelligence Magazine.

Majority Rule with Differential Latency: An Absorbing Markov Chain to Model Consensus

Mauro Birattari, Gabriele Valentini, Marco Dorigo, 2013 .