Mauro Birattari - Google Scholar Citations

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Marco DorigoFNRS Research Director, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Verified email at ulb.ac.be
Carlo PinciroliWorcester Polytechnic Institute, USAVerified email at pinciroli.net
Gianluca BontempiFull professor of Machine Learning, ULBVerified email at ulb.ac.be
Arne BrutschyPhD Student, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
Manuele BrambillaProphesee, IRIDIA-ULBVerified email at iridia.ulb.ac.be
Eliseo FerranteUniversity of BirminghamVerified email at bham.ac.uk
Prasanna BalaprakashComputer Scientist, Argonne National LaboratoryVerified email at mcs.anl.gov
Hugues BersiniProfessor of Computer Science - Université Libre de BruxellesVerified email at ulb.ac.be
Marco A. Montes de Ocaclypd & Northeastern UniversityVerified email at montes-de-oca.com
Paola PellegriniIFSTARVerified email at pellegrini.it
Gianpiero FrancescaToyota Motor Europe, IRIDIA CoDE, Université Libre de BruxellesVerified email at ulb.ac.be
Manuel López-IbáñezAlliance Manchester Business School, University of Manchester, UKVerified email at manchester.ac.uk
Andrea RoliDept. of Computer Science and Engineering (DISI), Campus of Cesena, Università di BolognaVerified email at unibo.it
Vito TrianniResearcher at the Institute of Cognitive Sciences and Technologies, National Research CouncilVerified email at istc.cnr.it
Lorenzo GarattoniIRIDIA CoDE, Université Libre de BruxellesVerified email at ulb.ac.be
Gianni A. Di CaroCarnegie Mellon University (CMU)Verified email at cmu.edu
Carlotta PiscopoUniversité libre de BruxellesVerified email at iridia.ulb.ac.be

Mauro Birattari

IRIDIA, Université Libre de Bruxelles

Verified email at ulb.ac.be - Homepage

Artificial intelligence swarm intelligence


Title	Cited by	Year
Ant colony optimization: Artificial ants as a computational intelligence technique M Dorigo, M Birattari, T Stutzle IEEE computational intelligence magazine 1 (4), 28-39, 2006	11117*	2006
Ant colony optimization M Dorigo, M Birattari Encyclopedia of machine learning, 36-39, 2011	11031	2011
Ant colony optimization M Dorigo, M Birattari Encyclopedia of machine learning, 36-39, 2011	11031	2011
Swarm robotics: a review from the swarm engineering perspective M Brambilla, E Ferrante, M Birattari, M Dorigo Swarm Intelligence 7 (1), 1-41, 2013	705	2013
A racing algorithm for configuring metaheuristics M Birattari, T Stützle, L Paquete, K Varrentrapp Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002	557	2002
The irace package, iterated race for automatic algorithm configuration M López-Ibánez, J Dubois-Lacoste, T Stützle, M Birattari Technical Report TR/IRIDIA/2011-004, IRIDIA, Université Libre de Bruxelles …, 2011	374*	2011
Utility Computing: 15th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2004, Davis, CA, USA, November 15-17, 2004. Proceedings A Sahai, W Felix Springer, 2004	336*	2004
Tuning metaheuristics: a machine learning perspective M Birattari Springer, 2009	312	2009
Swarmanoid: A novel concept for the study of heterogeneous robotic swarms M Dorigo, D Floreano, LM Gambardella, F Mondada, S Nolfi, T Baaboura, ... IEEE Robotics & Automation Magazine 1070 (9932/13), 2013	292	2013
F-race and iterated F-race: An overview M Birattari, Z Yuan, P Balaprakash, T Stützle Experimental methods for the analysis of optimization, 2010	287	2010
Frankenstein's PSO: a composite particle swarm optimization algorithm MA Montes de Oca, T Stutzle, M Birattari, M Dorigo Evolutionary Computation, IEEE Transactions on 13 (5), 1120-1132, 2009	287*	2009
Model-based search for combinatorial optimization: A critical survey M Zlochin, M Birattari, N Meuleau, M Dorigo Annals of Operations Research 131 (1-4), 373-395, 2004	279	2004
Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999	256	1999
A comparison of the performance of different metaheuristics on the timetabling problem O Rossi-Doria, M Sampels, M Birattari, M Chiarandini, M Dorigo, ... International Conference on the Practice and Theory of Automated Timetabling …, 2002	253	2002
The irace package: Iterated racing for automatic algorithm configuration M López-Ibáñez, J Dubois-Lacoste, LP Cáceres, M Birattari, T Stützle Operations Research Perspectives 3, 43-58, 2016	233	2016
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems C Pinciroli, V Trianni, R O’Grady, G Pini, A Brutschy, M Brambilla, ... Swarm intelligence 6 (4), 271-295, 2012	230	2012
Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle International workshop on hybrid metaheuristics, 108-122, 2007	222	2007
Swarm intelligence M Dorigo, M Birattari Scholarpedia 2 (9), 1462, 2007	188	2007
An effective hybrid algorithm for university course timetabling M Chiarandini, M Birattari, K Socha, O Rossi-Doria Journal of Scheduling 9 (5), 403-432, 2006	180	2006
The problem of tuning metaheuristics as seen from a machine learning perspective M Birattari Université libre de Bruxelles, 2004	161	2004

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