Books

[B02] M. Birattari (2009).   Tuning Metaheuristics: A machine learning perspective.   Springer, Berlin, Germany

[B01] M. Birattari (2005).   The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective.   DISKI 292, Infix/Aka, Berlin, Germany

Articles in journals

[J78] D. Garzón Ramos, F. Pagnozzi, T. Stützle, and M. Birattari (2024).   Automatic design of robot swarms under concurrent design criteria: a study based on iterated F-race.   Advanced Intelligent Systems, 2400332

[J77] M. Salman, D. Garzón Ramos, and M. Birattari (2024).   Automatic design of stigmergy-based behaviours for robot swarms.   Communications Engineering, 3:30

[J76] M. Kegeleirs, D. Garzón Ramos, K. Hasselmann, L. Garattoni, G. Francesca, and M. Birattari (2024).   Transferability in the automatic off-line design of robot swarms: from sim-to-real to embodiment and design-method transfer across different platforms design of robot swarms.   IEEE Robotics and Automation Letters, 9(3):2758-2765

[J75] K. Hasselmann, A. Ligot, and M. Birattari (2023)   Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search.   Swarm and Evolutionary Computation, 83:101395

[J74] A. Ligot and M. Birattari (2022).   On using simulation to predict the performance of robot swarms.   Scientific Data, 9:788

[J73] A. Ligot, A. Cotorruelo, E. Garone, and M. Birattari (2022).   Towards an empirical practice in off-line fully-automatic design of robot swarms.   IEEE Transactions on Evolutionary Computation, 26(6):1236-1245

[J72] F.J. Mendiburu, D. Garzón Ramos, M.R.A. Morais, A.M.N. Lima, and M. Birattari (2022).   AutoMoDe-Mate: automatic off-line design of spatially-organizing behaviors for robot swarms.   Swarm and Evolutionary Computation, 74:101118

[J71] J. Kuckling, V. van Pelt, and M. Birattari (2022).   AutoMoDe-Cedrata: Automatic design of behavior trees for controlling a swarm of robots with communication capabilities.   SN Computer Science, 3:136

[J70] D. Bozhinoski and M. Birattari (2021).   Towards an integrated automatic design process for robot swarms.   Open Research Europe, 1:112

[J69] K. Hasselmann, A. Ligot, J. Ruddick, and M. Birattari (2021).   Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms.   Nature Communications, 12:4345

[J68] F. Pagnozzi and M. Birattari (2021).   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.   Frontiers in Robotics and AI, 8:625125

[J67] M. Kegeleirs, G. Grisetti, and M. Birattari (2021).   Swarm SLAM: challenges and perspectives.   Frontiers in Robotics and AI, 8:618268

[J66] M. Salman, D. Garzón Ramos, K. Hasselmann, and M. Birattari (2020).   Phormica: Photochromic pheromone release and detection system for stigmergic coordination in robot swarms.   Frontiers in Robotics and AI, 7:591402

[J65] J. Kuckling, T. Stützle, and M. Birattari (2020).   Iterative improvement in the automatic modular design of robot swarms.   PeerJ Computer Science, 6:e322

[J64] A. Ligot, J. Kuckling, D. Bozhinoski, and M. Birattari (2020).   Automatic modular design of robot swarms using behavior trees as a control architecture.   PeerJ Computer Science, 6:e314

[J63] K. Hasselmann and M. Birattari (2020).   Modular automatic design of collective behaviors for robots endowed with local communication capabilities.   PeerJ Computer Science, 6:e291

[J62] M. Birattari, A. Ligot, and K. Hasselmann (2020).   Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms.   Nature Machine Intelligence, 2(9):494–499

[J61] D. Garzón Ramos and M. Birattari (2020).   Automatic design of collective behaviors for robots that can display and perceive colors.   Applied Sciences, 10(13):4654

[J60] A. Ligot and M. Birattari (2020).   Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms.   Swarm Intelligence, 14(1):1-24

[J59] A. Roli, A. Ligot and M. Birattari (2019).   Complexity measures: questions and novel opportunities in the automatic design and analysis of robot swarms.   Frontiers in Robotics and AI, 6:130

[J58] M. Salman, A. Ligot, and M. Birattari (2019).   Concurrent design of control software and configuration of hardware for robot swarms under economic constraints.   PeerJ Computer Science, 5:e221

[J57] M. Birattari, A. Ligot, D. Bozhinoski, M. Brambilla, G. Francesca, L. Garattoni, D. Garzón Ramos, K. Hasselmann, M. Kegeleirs, J. Kuckling, F. Pagnozzi, A. Roli, M. Salman, and T. Stützle (2019).   Automatic off-line design of robot swarms: a manifesto.   Frontiers in Robotics and AI, 6:59

[J56] L. Garattoni and M. Birattari (2018).   Autonomous task sequencing in a robot swarm.   Science Robotics, 3(20):eaat0430 [summary|abstract|toc|full text]

[J55] M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, M. Birattari, and T. Stützle (2016).   The irace package: iterated racing for automatic algorithm configuration.   Operations Research Perspectives, 3:43--58

[J54] G. Francesca and M. Birattari (2016).   Automatic design of robot swarms: achievements and challenges.   Frontiers in Robotics and AI, 3:29

[J53] Y. Khaluf, M. Birattari, and F. Rammig (2016).   Analysis of long-term swarm performance based on short-term experiments.   Soft Computing, 20(1):37-48

[J52] G. Francesca, M. Brambilla, A. Brutschy, L. Garattoni, R. Miletitch, G. Podevijn, A. Reina, T. Soleymani, M. Salvaro, C. Pinciroli, F. Mascia, V. Trianni, and M. Birattari (2015).   AutoMoDe-Chocolate: automatic design of control software for robot swarms.   Swarm Intelligence, 9(2/3):125-152

[J51] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2015).   Estimation-based metaheuristics for the single vehicle routing problem with stochastic demands and customers.   Computational Optimization and Applications, 61(2):463-487

[J50] A. Brutschy, L. Garattoni, M. Brambilla, G. Francesca, G. Pini, M. Dorigo, and M. Birattari (2015).   The TAM: Abstracting complex tasks in swarm robotics research.   Swarm Intelligence, 9(1):1-22

[J49] C. Pinciroli, M. Birattari, and M. Dorigo (2014).   ARGoS: un simulatore modulare e multi-motore per sistemi multi-robot.   Sistemi intelligenti 26(3):495-520

[J48] M. Brambilla, E. Ferrante, A. Prima, M. Birattari, and M. Dorigo (2014).   Robotica di sciame: una rassegna bibliografica.   Sistemi intelligenti, 26(3):465-494

[J47] G. di Tollo, T. Stützle, and M. Birattari (2014).   A metaheuristic multi-criteria optimisation approach to portfolio selection.   Journal of Applied Operational Research, 6(4):222-242

[J46] M. Brambilla, A. Brutschy, M. Dorigo, and M. Birattari (2014).   Property-driven design for robot swarms: A design method based on prescriptive modeling and model checking.   ACM Transactions on Autonomous and Adaptive Systems, 9(4):17/1-17/28

[J45] P. Pellegrini, F. Mascia, T. Stützle, and M. Birattari (2014).   On the sensitivity of reactive tabu search to its meta-parameters.   Soft Computing, 18(11):2177-2190

[J44] G. Francesca, M. Brambilla, A. Brutschy, V. Trianni, and M. Birattari (2014).   AutoMoDe: A novel approach to the automatic design of control software for robot swarms.   Swarm Intelligence, 8(2):89-112

[J43] G. Pini, A. Brutschy, A. Scheidler, M. Dorigo, and M. Birattari (2014).   Task partitioning in a robot swarm: object retrieval as a sequence of sub-tasks with direct object transfer.   Artificial Life, 20(3):291-317

[J42] E. Ferrante, A.E. Turgut, A. Stranieri, C. Pinciroli, M. Birattari, and M. Dorigo (2014).   A self-adaptive communication strategy for flocking in stationary and non-stationary environments.   Natural Computing, 13(2):225-245

[J41] M. Dorigo, M. Birattari, M. Brambilla (2014).   Swarm robotics.   Scholarpedia, 9(1):1463

[J40] F. Mascia, P. Pellegrini, M. Birattari, and T. Stützle (2014).   An analysis of parameter adaptation in reactive tabu search.   International Transactions in Operational Research, 21(1):127-152

[J39] A. Brutschy, G. Pini, C. Pinciroli, M. Birattari, and M. Dorigo (2014).   Self-organized task allocation to sequentially interdependent tasks in swarm robotics.   Autonomous Agents and Multi-Agent Systems, 28(1):101-125

[J38] Dorigo M., D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugnière, G. Di Caro, F. Ducatelle, E. Ferrante, A. Förster, J. Guzzi, V. Longchamp, S. Magnenat, J. Martinez Gonzales, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. Rétornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard (2013).   Swarmanoid: A novel concept for the study of heterogeneous robotic swarms.   IEEE Robotics & Automation Magazine. 20(4):60-71

[J37] C. Pinciroli, R. O'Grady, A. Christensen, M. Birattari, and M. Dorigo (2013).   Parallel formation of differently sized groups in a robotic swarm.   Journal of the Society of Instrument and Control Engineers, 52(3):213-226

[J36] G. Pini, A. Brutschy, C. Pinciroli, M. Dorigo, and M. Birattari (2013).   Autonomous task partitioning in robot foraging: an approach based on cost estimation.   Adaptive Behavior, 21(2):118-136

[J35] M. Massink, M. Brambilla, D. Latella, M. Dorigo, and M. Birattari (2013).   On the use of Bio-PEPA for modelling and analysing collective behaviours in swarm robotics.   Swarm Intelligence, 7(2/3):201-228

[J34] G. Pini, M. Gagliolo, A. Brutschy, M. Dorigo, and M. Birattari (2013).   Task partitioning in a robot swarm: a study on the effect of communication.   Swarm Intelligence, 7(2/3):173-199

[J33] M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo (2013).   Swarm robotics: A review from the swarm engineering perspective.   Swarm Intelligence, 7(1):1-41

[J32] S. Benedettini, M. Villani, A. Roli, R. Serra, M. Manfroni, A. Gagliardi, C. Pinciroli, and M. Birattari (2013).   Dynamical regimes and learning properties of evolved Boolean networks.   Neurocomputing, 99:111-123

[J31] A. Brutschy, N.-L. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, and M. Birattari (2012).   Costs and benefits of behavioral specialization.   Robotics and Autonomous Systems, 60(11):1408-1420

[J30] C. Pinciroli, V. Trianni, R. O'Grady, G. Pini, A. Brutschy, M. Brambilla, N. Mathews, E. Ferrante, G. Di Caro, F. Ducatelle, M. Birattari, L. M. Gambardella, and M. Dorigo (2012).   ARGoS: a modular, multi-engine simulator for heterogeneous swarm robotics.   Swarm Intelligence, 6(4):271-295

[J29] Z. Yuan, M. Montes de Oca, M. Birattari, and T. Stützle (2012).   Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms.   Swarm Intelligence, 6(1):49-75

[J28] P. Pellegrini, T. Stützle, M. Birattari (2012).   A critical analysis of parameter adaptation in ant colony optimization.   Swarm Intelligence, 6(1):23-48

[J27] M. Montes de Oca, E. Ferrante, A. Scheidler, C. Pinciroli, M. Birattari, and M. Dorigo (2011).   Majority-rule opinion dynamics with differential latency: A mechanism for self-organized collective decision-making.   Swarm Intelligence, 5(3/4):305-327

[J26] G. Pini, A. Brutschy, M. Frison, A. Roli, M. Dorigo, and M. Birattari (2011).   Task partitioning in swarms of robots: An adaptive method for strategy selection.   Swarm Intelligence, 5(3/4):283-304

[J25] J. A. Sabino, J.E. Leal, T. Stützle, and M. Birattari (2010).   A multi-objective ant colony optimization method applied to switch engine scheduling in railroad yards.   Pesquisa Operacional, 30(2):487-514

[J24] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2010).   Estimation-based metaheuristics for the probabilistic travelling salesman problem.   Computers & Operations Research, 37(11):1939-1951

[J23] C. Piscopo and M. Birattari (2010).   A critique of the constitutive role of truthlikeness in the similarity approach.   Erkenntnis, 72(3):379-386

[J22] C. Twomey, T. Stützle, M. Dorigo, M. Manfrin, and M. Birattari (2010).   An analysis of communication policies for homogeneous multi-colony ACO algorithms.   Information Sciences, 180(12):2390-2404

[J21] P. Balaprakash, M. Birattari, T. Stützle, Z. Yuan, and M. Dorigo (2009).   Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem.   Swarm Intelligence, 3(3):223-242

[J20] M. A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2009).   Frankenstein's PSO: A composite particle swarm optimization algorithm.   IEEE Transactions on Evolutionary Computation, 13(5):1120-1132

[J19] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2008).   Adaptive sample size and importance sampling in estimation-based local earch for the probabilistic traveling salesman problem.   European Journal of Operational Research, 199:98-110

[J18] M. Birattari, P. Balaprakash, T. Stützle, and M. Dorigo (2008).   Estimation-based local search for stochastic combinatorial optimization using delta evaluations: A case study on the probabilistic traveling salesman problem.   INFORMS Journal on Computing, 20(4):644-658

[J17] C. Piscopo and M. Birattari (2008).   The metaphysical character of the criticisms raised against the use of probability for dealing with uncertainty in artificial intelligence.   Minds and Machines, 18(2):273-288

[J16] A. L. Christensen, R. O'Grady, M. Birattari, and M. Dorigo (2008).   Fault detection in autonomous robots based on fault injection and learning.   Autonomous Robots, 24(1):49-67

[J15] M. Dorigo and M. Birattari (2007).   Swarm Intelligence.   Scholarpedia, 2(9):1462

[J14] M. Birattari, P. Pellegrini, and M. Dorigo (2007).   On the invariance of ant colony optimization.   IEEE Transactions on Evolutionary Computation, 11(6):732-742

[J13] M. Birattari and M. Dorigo (2007).   How to assess and report the performance of a stochastic algorithm on a benchmark problem: Mean or best result on a number of runs?   Optimization Letters, 1(3):309-311

[J12] M. Dorigo, M. Birattari, and T. Stützle (2006).   Ant colony optimization: Artificial ants as a computational intelligence technique.   IEEE Computational Intelligence Magazine, 1(4):28-39

[J11] M. Birattari, M. Zlochin, and M. Dorigo (2006).   Towards a theory of practice in metaheuristics design: A machine learning perspective.   RAIRO—Theoretical Informatics and Applications, 40(2):353-369

[J10] M. Chiarandini, M. Birattari, K. Socha, and O. Rossi-Doria (2006).   An effective hybrid algorithm for university course timetabling.   Journal of Scheduling, 9(5):403-432

[J09] L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto (2006).   Hybrid metaheuristics for the vehicle routing problem with stochastic demands.   Journal of Mathematical Modelling and Algorithms,   5(1):91-110

[J08] S. Nouyan, R. Ghizzioli, M. Birattari, and M. Dorigo (2005).   An insect-based algorithm for the dynamic task allocation problem.   Künstliche Intelligenz, 4/05:25-31

[J07] G. Bontempi and M. Birattari (2005).   From linearization to lazy learning: A survey of divide-and-conquer techniques for nonlinear control.   International Journal of Computational Cognition, 3(1):56-73

[J06] D. Villacci, G. Bontempi, A. Vaccaro, and M. Birattari (2005).   The role of learning methods in the dynamic assessment of power components loading capability.   IEEE Transactions on Industrial Electronics, 52(1):280-290

[J05] M. Zlochin, M. Birattari, N. Meuleau, and M. Dorigo (2004).   Model-based search for combinatorial optimization: A critical survey.   Annals of Operations Research, 131(1-4):375-395

[J04] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2002).   Data-driven techniques for direct adaptive control: The lazy and the fuzzy approaches.   Fuzzy Sets and Systems. 128(1):3-14

[J03] G. Bontempi, H. Bersini, and M. Birattari (2001).   The local paradigm for modeling and control: From neuro-fuzzy to lazy learning.   Fuzzy Sets and Systems, 121(1):59-72

[J02] G. Bontempi, M. Birattari, and H. Bersini (2000).   A model selection approach for local learning.   AI Communications, 13(1):41-47

[J01] G. Bontempi, M. Birattari, and H. Bersini (1999).   Lazy learning for local modeling and control design.   International Journal of Control, 72(7/8):643-658

Edited proceedings and journal special issues

[E22] M. Dorigo, M. Birattari, C. Blum, A.L. Christensen, A. Reina, and V. Trianni (Eds.) (2019/2020).   ANTS 2018 Special Issue,   Swarm Intelligence, 13(3/4) and 14(1)

[E21] M. Dorigo, M. Birattari, C. Blum, A. Christensen, A. Reina, and V. Trianni (Eds.) (2018).   Swarm Intelligence,   11th International Conference, ANTS 2018, LNCS 11172, Springer, Cham, Switzerland

[E20] M. Dorigo, M. Birattari, X. Li, M. López-Ibáñez, K. Ohkura, C. Pinciroli, and T. Stützle (Eds.) (2017).   ANTS 2016 Special Issue,   Swarm Intelligence, 11(3/4)

[E19] M. Dorigo, M. Birattari, X. Li, M. López-Ibáñez, K. Ohkura, C. Pinciroli, and T. Stützle (Eds.) (2016).   Swarm Intelligence,   10th International Conference, ANTS 2016, LNCS 9882, Springer, Cham, Switzerland

[E18] M. Dorigo, M. Birattari, S. Garnier, H. Hamann, M. A. Montes de Oca, C. Solnon, T. Stützle (Eds.) (2015).   ANTS 2014 Special Issue,   Swarm Intelligence, 9(2/3)

[E17] S. Hauert and M. Birattari (Eds.) (2015).   AAAI Video Competition 2015,   online video proceedings, http://www.aaaivideos.org

[E16] M. Dorigo, M. Birattari, S. Garnier, H. Hamann, M. A. Montes de Oca, C. Solnon, T. Stützle (Eds.) (2014).   Swarm Intelligence,   9th International Conference, ANTS 2014, LNCS 8667, Springer, Berlin, Germany

[E15] M. Birattari and S. Hauert (Eds.) (2014).   AAAI Video Competition 2014,   online video proceedings, http://www.aaaivideos.org

[E14] M. Dorigo, M. Birattari, C. Blum, A.L. Christensen, A. Engelbrecht, R. Groß, T. Stützle (Eds.) (2013)   ANTS 2012 Special Issue,   Swarm Intelligence, 7(2/3)

[E13] M. Dorigo, M. Birattari, and R. O'Grady (Eds.) (2013).   AAAI Video Competition 2013,   online video proceedings, http://www.aaaivideos.org

[E12] M. Dorigo, M. Birattari, C. Blum, A. L. Christensem, A. P. Engelbrecht, R. Groß, and T. Stützle (Eds.) (2012).   Swarm Intelligence,   8th International Conference, ANTS 2012, LNCS 7461, Springer, Berlin, Germany

[E11] M. Dorigo, M. Birattari, and R. O'Grady (Eds.) (2012).   AAAI Video Competition 2012,   online video proceedings, http://www.aaaivideos.org

[E10] M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, L. M. Gambardella, R. Groß, E. Sahin, and T. Stützle (Eds.) (2011/2012).   ANTS 2010 Special Issue,   Swarm Intelligence, 5(3/4) and 6(1)

[E09] M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) (2010).   Swarm Intelligence,   7th International Conference, ANTS 2010, LNCS 6234, Springer, Berlin, Germany

[E08] T. Stützle, M. Birattari, and H. H. Hoos (Eds.) (2009).   Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics,   2nd International Workshop, SLS 2009. LNCS 5752. Springer, Berlin, Germany

[E07] G.R. Raidl, E. Alba, J. Bacardit, H.-G. Beyer, M. Birattari, C. Blum, P.A.N. Bosman, C.B. Congdon, D. Corne, C. Cotta, M. Di Penta, B. Doerr, R. Drechsle, M. Ebner, J. Grahl, T. Jansen, J.D. Knowles, T. Lenaerts, M. Middendorf, J. F. Miller, M. O'Neill, R. Poli, G. Squillero, K.O. Stanley, T. Stützle, J. van Hemert (Eds.) (2009)   GECCO 2009: Genetic and Evolutionary Computation Conference,   ACM, New York, NY, USA

[E06] M. Dorigo, M. Birattari, C. Blum, M. Clerc and T. Stützle, and A.F.T. Winfield (Eds.) (2008).   Ant Colony Optimization and Swarm Intelligence,   6th International Conference, ANTS 2008. LNCS 5217. Springer, Berlin, Germany

[E05] T. Stützle, M. Birattari, and H. H. Hoos (Eds.) (2007).   Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics,   International Workshop, SLS 2007. LNCS 4638. Springer, Berlin, Germany

[E04] E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) (2007).   SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms.   IRIDIA–Technical Report Series, TR/IRIDIA/2007-018. IRIDIA, Université Libre de Bruxelles, Belgium

[E03] D. Thierens, H.-G. Beyer, M. Birattari, J. Bongard, J. Branke, J. A. Clark, D. Cliff, C. B. Congdon, K. Deb, B. Doerr, T. Kovacs, S. Kumar, J. F. Miller, J. Moore, F. Neumann, M. Pelikan, R. Poli, K. Sastry, K. O. Stanley, T. Stützle, R. A. Watson, and I. Wegener (Eds.) (2007).   GECCO 2007: Genetic and Evolutionary Computation Conference.   ACM, New York, NY, USA

[E02] M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) (2006).   Ant Colony Optimization and Swarm Intelligence,   5th International Workshop, ANTS 2006. LNCS 4150. Springer, Berlin, Germany

[E01] M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. Stützle (Eds.) (2004).   Ant Colony Optimization and Swarm Intelligence,   4th International Workshop, ANTS 2004. LNCS 3172. Springer, Berlin, Germany

Theses

[T03] M. Birattari (2004).   The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective.   PhD Thesis, Université Libre de Bruxelles. Supervised by M. Dorigo

[T02] M. Birattari (2001).   On the Formal Foundation of Ant Programming.   DEA Thesis, Université Libre de Bruxelles. Supervised by M. Dorigo

[T01] M. Birattari (1997).   Modelli Locali per l'Apprendimento: Dall'approccio neuro-fuzzy al lazy learning. (In Italian)   Master Thesis, Politecnico di Milano. Supervised by A. Bonarini and G. Bontempi

Book chapters and articles in post-proceedings

[C17] M. Birattari, A. Ligot, and G. Francesca (2021). AutoMoDe: a modular approach to the automatic off-line design and fine-tuning of control software for robot swarms.   In N. Pillay and R. Qu (Eds.) Automated Design of Machine Learning and Search Algorithms, pp. 73-90. Springer Nature, Cham, Switzerland.

[C16] G. Spaey, M. Kegeleirs, D. Garzón Ramos, and M. Birattari (2020). Evaluation of alternative exploration schemes in the automatic modular design of robot swarms.   In B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, and G. Louppe (Eds.) Artificial Intelligence and Machine Learning, CCIS 1196, pp. 18-33. Springer, Cham, Switzerland.

[C15] J. Kuckling, K. Ubeda Arriaza, and M. Birattari (2020). AutoMoDe-IcePop: Automatic modular design of control software for robot swarms using simulated annealing.   In B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, and G. Louppe (Eds.) Artificial Intelligence and Machine Learning, CCIS 1196, pp. 3-17. Springer, Cham, Switzerland.

[C14] A. Roli, A. Ligot, and M. Birattari (2018).   Complexity measures in automatic design of robot swarms: an exploratory study.   In M. Perillo, I. Poli, A. Roli, R. Serra, D. Slanzi, and M. Villani (Eds.) Artificial Life and Evolutionary Computation, CCIS 860, pp. 243-246. Springer, Cham, Switzerland.

[C13] L. Garattoni and M. Birattari (2016).   Swarm robotics.   In J.G. Webster (Ed.) Wiley Encyclopedia of Electrical and Electronics Engineering. John Wiley & Sons, Hoboken, NJ

[C12] C. Piscopo and M. Birattari (2013).   Invention Versus Discovery.   In E.G. Carayannis (Ed.) Encyclopedia of Creativity, Invention, Innovation, and Entrepreneurship, pp. 1139-1146. Springer, Berlin, Germany

[C11] E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo (2013).   Socially-mediated negotiation for obstacle avoidance in collective transport.   In A. Martinoli, F. Mondada, N. Correll, and G. Mermoud (Eds.) Distributed Autonomous Robotic Systems, STAR 83, pp. 571-583. Springer, Berlin, Germany

[C10] T. Stützle, M. López-Ibañez, P. Pellegrini, M. Maur, M. Montes de Oca, M. Birattari, and M. Dorigo (2012).   Parameter adaptation in ant colony optimization.   In Y. Hamadi, E. Monfroy, and F. Saubion (Eds.) Autonomous Search, pp. 191-215. Springer, Berlin, Germany

[C09] P. Pellegrini and M. Birattari (2011).   Out-of-the-box and custom implementation of metaheuristics. A case study: The vehicle routing problem with stochastic demand.   In M. Köppen et al. (Eds.) Intelligent Computational Optimization in Engineering, SCI 366, pp. 273-295. Springer, Berlin, Germany

[C08] G. Pini, A. Brutschy, M. Birattari, and M. Dorigo (2011).   Task partitioning in swarms of robots: Reducing performance losses due to interference at shared resources.   In J.A. Cetto, J. Filipe, and J.-L. Ferrier (Eds.) Informatics in Control Automation and Robotics, LNEE 85, pp. 217-228. Springer, Berlin, Germany

[C07] M. Dorigo, M. Birattari, and T. Stützle (2010).   Metaheuristics.   In C. Sammut and G. Webb Encyclopedia of Machine Learning, pp. 662, Springer, Berlin, Germany

[C06] M. Dorigo and M. Birattari (2010).   Ant Colony Optimization.   In C. Sammut and G. Webb Encyclopedia of Machine Learning, pp. 37-40, Springer, Berlin, Germany

[C05] M. Birattari, Z. Yuan, P. Balaprakash, and T. Stützle (2010).   F-race and iterated F-race: An overview.   In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss (Eds.) Empirical Methods for the Analysis of Optimization Algorithms, pp. 311-336, Springer, Berlin, Germany

[C04] P. Balaprakash, M. Birattari, and T. Stützle (2008).   Engineering stochastic local search algorithms: A case study in estimation-based local search for the probabilistic travelling salesman problem.   In C. Cotta and J. van Hemert (Eds.) Recent Advances in Evolutionary Computation for Combinatorial Optimization, pp. 53-66. Studies in Computational Intelligence 153. Springer, Berlin, Germany

[C03] M. Birattari, P. Balaprakash, and M. Dorigo (2006).   The ACO/F-RACE algorithm for combinatorial optimization under uncertainty.   In K. F. Doerner, M. Gendreau, P. Greistorfer, W. J. Gutjahr, R. F. Hartl, and M. Reimann (Eds.) Metaheuristics - Progress in Complex Systems Optimization, pp. 189-203. Operations Research/Computer Science Interfaces Series. Springer, Berlin, Germany

[C02] O. Rossi-Doria, M. Sampels, M. Birattari, M. Chiarandini, M. Dorigo, L. M. Gambardella, J. Knowles, M. Manfrin, M. Mastrolilli, B. Paechter, L. Paquete, and T. Stützle (2003).   A comparison of the performance of different metaheuristics on the timetabling problem.   In E. Burke and P. D Causmaecker (Eds.) Practice and Theory of Automated Timetabling IV. 4th International Conference, PATAT 2002. LNCS 2740, pp. 329-351. Springer, Berlin, Germany

[C01] G. Bontempi, M. Birattari, and H. Bersini (2001).   Lazy Learning: A local method for supervised learning.   In L. C. Jain and J. Kacprzyk (Eds.) New Learning Paradigms in Soft Computing. Studies in Fuzziness and Soft Computing, vol. 84, pp. 97-137. Springer, Heidelberg, Germany

Articles in refereed conference proceedings

[P92] D. Garzón Ramos and M. Birattari (2023).   Automatically designing robot swarms in environments populated by other robots: an experiment in robot shepherding.   In Z. Wang et al. (Eds.) IEEE International Conference on Robotics and Automationm, ICRA, pp. 12240-12247. IEEE Press, Piscataway, NJ. (Conference held in Yokohama, Japan May 13-17, 2024)

[P92] I. Gharbi, J. Kuckling, D. Garzón Ramos, M. Birattari (2023).   Show me what you want: inverse reinforcement learning to automatically design robot swarms by demonstration.   In K. Althoefer et al. (Eds.) IEEE International Conference on Robotics and Automationm, ICRA, pp. 5063-5070. IEEE Press, Piscataway, NJ. (Conference held in London, UK. May 29-June 2, 2023)

[P91] A. Sion, A. Reina, M. Birattari, E. Tuci (2022).   Controlling robot swarm aggregation through a minority of informed robots.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 13th International Conference, ANTS 20202. LNCS 13491, pp. 91-103. Springer International Publishing, Cham, Switzerland. (Conference held in Málaga, Spain. November 2-4, 2022)

[P90] A. Sion, A. Reina, M. Birattari, E. Tuci (2022).   Impact of the update time on the aggregation of robotic swarms through informed robots.   In L. Cañamero et al. (Eds.) From Animals to Animats 16: The 16th International Conference on the Simulation of Adaptive Behavior, SAB 2020. LNAI 13499, pp. 193-204. Springer International Publishing, Cham, Switzerland. (Conference held in Seville, Spain. April 7-9, 2021)

[P89] J. Kuckling, V. van Pelt, and M. Birattari (2021).   Automatic modular design of behavior trees for robot swarms with communication capabilities.   In P.A. Castillo and J.L. Jiménez-Laredo (Eds.) Applications of Evolutionary Computation: 24th European Conference, EvoApplications 2021. LNCS 12694, pp. 130-145. Springer International Publishing, Cham, Switzerland. (Conference held in Seville, Spain. April 7-9, 2021)

[P88] A. Ligot, K. Hasselmann and M. Birattari (2020).   AutoMoDe-Arlequin: neural networks as behavioral modules for the automatic design of probabilistic finite state machines.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 12th International Conference, ANTS 2020. LNCS 12421, pp. 271-281. Springer International Publishing, Cham, Switzerland. (Confefence held in Barcelona, Spain. October 26-28, 2020)

[P87] J. Kuckling, K. Ubeda Arriaza, and M. Birattari (2019).   Simulated annealing as an optimization algorithm in the automatic modular design of control software for robot swarms.   In K. Beuls et al. (Eds.) BNAIC/BENELEARN 2019: Proceedings of the 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning. CEUR Workshop Proceedings, vol. 2491, abstract58, 2 pages. Aachen, Germany. Best Paper Award (Conference held in Brussels, Belgium. November 6-8, 2019)

[P86] G. Spaey, M. Kegeleirs, D. Garzón Ramos, M. Birattari (2019).   Comparison of different exploration schemes in the automatic modular design of robot swarms.   In K. Beuls et al. (Eds.) BNAIC/BENELEARN 2019: Proceedings of the 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning. CEUR Workshop Proceedings, vol. 2491, abstract55, 2 pages. Aachen, Germany. (Conference held in Brussels, Belgium. November 6-8, 2019)

[P85] M. Kegeleirs, D. Garzón Ramos, and M. Birattari (2019).   Random walk exploration for swarm mapping.   In K. Althoefer et al. (Eds.) Towards Autonomous Robotic Systems, TAROS 2019. LNAI 11650, pp. 211–222. Springer International Publishing, Cham, Switzerland. (Confefence held in London, UK. July 3-5, 2019)

[P84] A. Ligot and M. Birattari (2018).   On mimicking the effects of the reality gap with simulation-only experiments.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 11th International Conference, ANTS 2018. LNCS 11172, pp. 109-122. Springer International Publishing, Cham, Switzerland. (Confefence held in Rome, Italy. October 29-31, 2018)

[P83] J. Kuckling, A. Ligot, D. Bozhinoski, and M. Birattari (2018).   Behavior trees as a control architecture in the automatic modular design of robot swarms.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 11th International Conference, ANTS 2018. LNCS 11172, pp. 30-43. Springer International Publishing, Cham, Switzerland. (Confefence held in Rome, Italy. October 29-31, 2018)

[P82] K. Hasselmann, F. Robert, M. Birattari (2018).   Automatic design of communication-based behaviors for robot swarms.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 11th International Conference, ANTS 2018. LNCS 11172, pp. 16-29. Springer International Publishing, Cham, Switzerland. (Confefence held in Rome, Italy. October 29-31, 2018)

[P81] D. Bozhinoski and M. Birattari (2018).   Designing control software for robot swarms: Software engineering for the development of automatic design methods.   In F. Ciccozzi et al. (Eds.) ACM/IEEE 1st International Workshop on Robotics Software Engineering, RoSE, pp. 33-35. ACM, New York. (Confefence held in Gothenburg, Sweden. May 28, 2018)

[P80] M. Birattari, B. Delhaisse, G. Francesca, and Y. Kerdoncuff (2016).   Observing the effects of overdesign in the automatic design of control software for robot swarms.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 10th International Conference, ANTS 2016. LNCS 9882, pp. 149-160. Springer International Publishing, Cham, Switzerland. (Confefence held in Brussels, Belgium. September 7-9, 2016)

[P79] A. Roli, M. Villani, R. Serra, S. Benedettini, C. Pinciroli, and M. Birattari (2015).   Dynamical properties of artificially evolved Boolean network robots.   In M. Gavanelli, F. Riguzzi, and E. Lamma (Eds.) AI*IA 2015: Advances in Artificial Intelligence. LNAI 9336, pp. 45-57. Springer, Berlin, Germany (Conference held in Ferrara, Italy. September 23-25, 2015)

[P78] A. Reina, M. Salvaro, G. Francesca, L. Garattoni, C. Pinciroli, M. Dorigo, and M. Birattari (2015).   Augmented reality for robots: virtual sensing technology applied to a swarm of e-pucks.   In G. Beltrame et al. (Eds.) 2015 NASA/ESA Conference Adaptive Hardware and Systems. Paper ID sB_p3. IEEE Computer Society, Los Alamitos, CA, USA (Confefence held in Montreal, Canada. June 15-18, 2015)

[P77] G. Francesca, M. Brambilla, A. Brutschy, L. Garattoni, R. Miletitch, G. Podevijn, A. Reina, T. Soleymani, M. Salvaro, C. Pinciroli, V. Trianni, and M. Birattari (2014).   An experiment in automatic design of robot swarms: AutoMoDe-Vanilla, EvoStick, and Human Experts.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 9th International Conference, ANTS 2014. LNCS 8667, pp. 25-37. Springer, Berlin, Germany (Confefence held in Brussels, Belgium. September 10-12, 2014)

[P76] M. Castillo-Cagigal, A. Brutschy, A. Gutiérrez, and M. Birattari (2014).   Temporal task allocation in periodic environments: An approach based on synchronization.   In M. Dorigo et al. (Eds.) Swarm Intelligence, 9th International Conference, ANTS 2014. LNCS 8667, pp. 182-193. Springer, Berlin, Germany (Confefence held in Brussels, Belgium. September 10-12, 2014)

[P75] Y. Khaluf, M. Birattari, and H. Hamann (2014).   A swarm robotics approach to task allocation under soft deadlines and negligible switching costs.   In A.P. Del Pobil et al. (Eds.) From Animals to Animats 13: The 13th International Conference on the Simulation of Adaptive Behavior, SAB 2014, LNAI 8575, pp. 270-279. Springer. Berlin, Germany (Conference to held in Castellón, Spain. July 22-26, 2014)

[P74] A. Roli, M. Villani, R. Serra, L. Garattoni, C. Pinciroli, and M. Birattari (2013). Identification of dynamical structures in artificial brains: An analysis of Boolean network controlled robots.   In M. Baldoni, C. Baroglio, G. Boella, and R. Micalizio (Eds.) AI*IA 2013: Advances in Artificial Intelligence LNAI 8249, pp. 324-335. Springer, Berlin, Germany (Conference held in Turin, Italy. December 4-6, 2013)

[P73] Y. Khaluf, M. Birattari, F.-J. Rammig (2013).   Probabilistic analysis of long-term swarm performance under spatial interferences.   In A.-H. Dediu, C. Martín-Vide, B. Truthe, M.A. Vega-Rodríguez (Eds.) Theory and Practice of Natural Computing, TPNC 2013, LNCS 8273, pp. 121-132. Springer, Berlin, Germany (Conference held in Cáceres, Spain. December 3-5, 2013)

[P72] L. Garattoni, A. Roli, M. Amaducci, C. Pinciroli and M. Birattari. (2013)   Boolean network robotics as an intermediate step in the synthesis of finite state machines for robot control.   In P. Liò, O. Miglino, G. Nicosia, S. Nolfi and M. Pavone (Eds.) Advances in Artificial Life, ECAL 2013: Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, pp. 783-790. MIT press, Cambridge, MA, USA (Conference held in Taormina, Italy. September 2-6 2013)

[P71] Z. Yuan, T. Stützle, M.A. Montes De Oca, H.C. Lau, M. Birattari (2013).   An analysis of post-selection in automatic configuration.   In E. Alba et al. (Eds.) GECCO 2013: Proceedings of the 2013 Genetic and Evolutionary Computation Conference, pp. 1557-1564. ACM, New York, NY, USA (Conference held in Amsterdam, The Netherlands. July 6-10, 2013)

[P70] F. Mascia, M. Birattari, and T. Stützle (2013).   Tuning algorithms for tackling large instances: An experimental protocol.   In G. Nicosia and P. Pardalos (Eds.) Learning and Intelligent Optimization, 7th International Conference, Lion 7, LNCS 7997, pp. 410-422. Springer, Berlin, Germany (Conference held in Catania, Italy. January 7-11, 2013)

[P69] E. Gjondrekaj, M. Loreti, R. Pugliese, F. Tiezzi, C. Pinciroli, M. Brambilla, M. Birattari, and M. Dorigo (2012).   Towards a Formal Verification Methodology for Collective Robotic Systems.   In T. Aoki and K. Taguchi (Eds.) Formal Methods and Software Engineering 14th International Conference on Formal Engineering Methods, ICFEM 2012, LNCS 7635, pp. 54-70. Springer, Berlin, Germany (Conference to be held in Kyoto, Japan. November 12-16, 2012)

[P68] A. Brutschy, A. Scheidler, E. Ferrante, M. Dorigo, and M. Birattari (2012).  Can ants inspire robots? Self-organized decision making in robotic swarms.   IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012, pp. 4272-4273. IEEE Press, Piscataway, NJ (Conference held in Vilamoura, Portugal. October 7-12, 2012)

[P67] G. Pini, A. Brutschy, G. Francesca, M. Dorigo, and M. Birattari (2012).   Multi-armed bandit formulation of the task partitioning problem in swarm robotics.   In M. Dorigo, M. Birattari, C. Blum, A. L. Christensem, A. P. Engelbrecht, R. Groß, and T. Stützle (Eds.) Swarm Intelligence, 8th International Conference, ANTS 2012, LNCS 7461, pp. 109-120. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 12-14, 2012)

[P66] M. Massink, M. Brambilla, D. Latella, M. Dorigo, and M. Birattari (2012).   Analysing robot swarm decision-making with Bio-PEPA.   In M. Dorigo, M. Birattari, C. Blum, A. L. Christensem, A. P. Engelbrecht, R. Groß, and T. Stützle (Eds.) Swarm Intelligence, 8th International Conference, ANTS 2012, LNCS 7461, pp. 25-36. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 12-14, 2012)

[P65] G. Valentini, M. Birattari, and M. Dorigo (2012).   Majority rule with differential latency: An absorbing Markov chain to model consensus.   In T. Gilbert, M. Kirkilionis, and G. Nicolis (Eds.) Proceedings of the 12th European Conference on Complex Systems, ECCS 2012, Springer Proceedings in Complexity, pp. 651-658. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 3-7, 2012)

[P64] E. Ferrante, W. Sun, A.E. Turgut, M. Dorigo, M. Birattari, and T. Wenseleers (2012).   Self-organized flocking with conflicting goal directions.   In T. Gilbert, M. Kirkilionis, and G. Nicolis (Eds.) Proceedings of the 12th European Conference on Complex Systems, ECCS 2012, Springer Proceedings in Complexity, pp. 607-614. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 3-7, 2012)

[P63] A. Roli, M. Amaducci, L. Garattoni, C. Pinciroli, and M. Birattari (2012).   State space properties of Boolean networks trained for sequence tasks.   In T. Gilbert, M. Kirkilionis, and G. Nicolis (Eds.) Proceedings of the 12th European Conference on Complex Systems, ECCS 2012, Springer Proceedings in Complexity, pp. 235-240. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 3-7, 2012)

[P62] G. Francesca, M. Brambilla, V. Trianni, M. Dorigo, and M. Birattari (2012).   Analysing an evolved robotic behaviour using a biological model of collegial decision making.   In T. Ziemke, C. Balkenius, and J. Hallam (Eds.) From Animals to Animats 12: 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, LNAI 7426, pp. 381-390. Springer. Berlin, Germany (Conference held in Odense, Denmark. August 27-30 2012)

[P61] E. Ferrante, A.E. Turgut, C. Huepe, M. Birattari, M. Dorigo and T. Wenseleers (2012).   Explicit and implicit directional information transfer in collective motion.   In C. Adami, D.M. Bryson, C. Ofria, and R.T. Pennock (Eds.) Artificial Life 13: Proceedings of the 13th International Conference on the Synthesis and Simulation of Living Systems, Alife 13, pp. 551-552. MIT Press, Cambridge, MA, USA (Conference held in East Lansing, MI, USA. July 19-22, 2012)

[P60] M. Brambilla; C. Pinciroli; M. Birattari; and M. Dorigo (2012).   Property-driven design for swarm robotics.   In V. Conitzer, M. Winikoff, L. Padgham, and W. van der Hoek (Eds.) Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, pp.139-146. IFAAMAS (Conference held in Valencia, Spain. June 4-8, 2012)

[P59] A. Brutschy, N.-L. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, and M. Birattari (2011).   Costs and benefits of behavioral specialization.   In R. Groß, L. Alboul, C. Melhuish, M. Witkowski, T. J. Prescott, and J. Penders (Eds.) Towards Autonomous Robotic Systems - 12th Annual Conference, TAROS 2011, LNCS 6856, pp. 90-101. Springer. Berlin, Germany (Conference held in Sheffield, UK. August 31-September 2, 2011)

[P58] A. Stranieri, E. Ferrante, A. E. Turgut, V. Trianni, C. Pinciroli, M. Birattari, and M. Dorigo (2011).   Self-organized flocking with a heterogeneous mobile robot swarm.   In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, and R. Doursat (Eds.) Advances in Artificial Life, ECAL 2011: 11th European Conference on the Synthesis and Simulation of Living Systems, pp. 789-796. MIT Press, Cambridge, MA (Conference held in Paris, France. August 8-12, 2011)

[P57] M. Dorigo, M. Birattari, R. O'Grady, L. M. Gambardella, F. Mondada, D. Floreano, S. Nolfi, T. Baaboura, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. Christensen, A. Decugnière, G. Di Caro, F. Ducatelle, E. Ferrante, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, C. Pinciroli, G. Pini, P. Rétornaz, F. Rey, J. Roberts, F. Rochat, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard (2011).   Swarmanoid, the movie.   In D. Aha and A. Jhala (Eds.) AAAI-11, AI Video Competition, AAAI Press. Winner of the Best Video Award (Conference held in San Francisco, CA. August 7-11, 2011)

[P56] A. Roli, M. Manfroni, C. Pinciroli, and M. Birattari (2011).   On the design of Boolean network robots.   In C. Di Chio, A. Brabazon, G.A. Di Caro, R. Drechsler, M. Farooq, J. Grahl, G. Greenfield, C. Prins, J. Romero, G. Squillero, E. Tarantino, A.G.B. Tettamanzi, N. Urquhart, and A.S. Uyar (Eds.) Applications of Evolutionary Computation, EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, LNCS 6624/5, pp. 43-52. Springer. Berlin, Germany (Conference held in Torino, Italy. April 23-27, 2011)

[P55] G. Francesca, P. Pellegrini, T. Stützle, and M. Birattari (2011)   Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP.   In P. Merz, J.-K. Hao (Eds.) Evolutionary Computation in Combinatorial Optimization, 11th European Conference, EvoCOP 2011, LNCS 6622, pp. 203-214. Springer. Berlin, Germany (Conference held in Torino, Italy. April 27-29, 2011)

[P54] W. Schäfer, M. Birattari, J. Blömer, M. Dorigo, G. Engels, R. O'Grady, M. Platzner, F. Rammig, W. Reif, and A. Trächtler (2010).   Engineering Self-Coordinating Software Intensive Systems.   In G.-C. Roman and K. Sullivan (Eds.) FoSER'10: Proceedings of the FSE/SDP workshop on future of software engineering research, pp. 321-324, ACM Press. New York, NY, USA (Conference held in Santa Fe, NM, USA. November 7-11, 2010)

[P53] M.A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2010).   Incremental social learning applied to a decentralized decision-making mechanism: collective learning made faster.   In I. Gupta, S. Hassas, and J. Rolia (Eds.) Proceedings of the Fourth IEEE Conference on Self-Adaptive and Self-Organizing Systems, SASO 2010, pp. 243-252, IEEE Computer Society Press. Los Alamitos, CA (Conference held in Budapest, Hungary. September 27-October 1, 2010)

[P52] E. Ferrante, A. E. Turgut, N. Mathews, M. Birattari, and M. Dorigo (2010).   Flocking in stationary and non-stationary environments: A novel communication strategy for heading alignment.   In R. Schaefer, C. Cotta, J. Kolodziej, and G. Rudolph (Eds.) Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, LNCS 6239, pp. 331-340, Springer. Berlin, Germany (Conference held in Krakow, Polland. September 11-15, 2010)

[P51] Z. Yuan, M. A. Montes de Oca, M. Birattari, and T. Stützle (2010).   Modern continuous optimization algorithms for tuning real and integer algorithm parameters.   In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, pp. 203-214, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 8-10, 2010)

[P50] P. Pellegrini and T. Stützle, and M. Birattari (2010).   Off-line vs. on-line tuning: A study on MAX-MIN ant system for the TSP.   In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, pp. 239-250, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 8-10, 2010)

[P49] M. A. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo (2010).   Opinion dynamics for decentralized decision-making in a robot swarm.   In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, pp. 251-262, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 8-10, 2010)

[P48] M. Frison, N.-L. Tran, N. Baiboun, A. Brutschy, G. Pini, A. Roli, M. Dorigo, and M. Birattari (2010).   Adaptive task partitioning in swarms of homogeneous robots.   In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, pp. 287-298, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 8-10, 2010)

[P47] E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo (2010).   Look out!: Socially-mediated obstacle avoidance in collective transport.     In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle (Eds.) Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, pp. 572-573, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 8-10, 2010)

[P46] Z. Yuan, T. Stützle, and M. Birattari (2010).   MADS/F-Race: Mesh adaptive direct search meets F-Race.   In N. García-Pedrajas, H. Francisco, C. Fyfe, J.M. Benítez, and M. Ali (Eds.) Trends in Applied Intelligent Systems, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, LNAI 6096, pp. 41-50. Springer, Berlin, Germany (Conference held in Córdoba, Spain. June 1-4, 2010)

[P45] M. Gagliolo, C. Legrand, and M. Birattari (2009).   Mixed-effects modeling of optimisation algorithm performance.   In T. Stützle, M. Birattari, and H. H. Hoos (Eds.) Engineering Stochastic Local Search Algorithms, 2nd International Workshop, SLS 2009, LNCS 5752, pp. 150-154. Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 3-4, 2009)

[P44] M. Birattari, Z. Yuan, P. Balaprakash, T. Stützle (2009).   Automated algorithm tuning using F-races: Recent developments.   In S. Voss and M. Caserta (Eds.) MIC 2009: The 8th Metaheuristics International Conference, proceedings on CD-ROM, 10 pages (Conference held in Hamburg, Germany. July 13-16, 2009)

[P43] G. Pini, A. Brutschy, M. Birattari, and M. Dorigo (2009).   Interference reduction through task partitioning in a robotic swarm.   In J. Filipe, J. A. Cetto, and J.-L. Ferrier (Eds.) ICINCO 2009: 6th International Conference on Informatics in Control, Automation and Robotics, proceedings on CD-ROM, paper ID 156, 8 pages. INSTICC Press. Setúbal, Portugal (Conference held in Milan, Italy. July 2-5, 2009)

[P42] M. Brambilla, C. Pinciroli, M. Birattari, and M. Dorigo (2009).   A reliable distributed algorithm for group size estimation with minimal communication requirements.   In E. Prassler et al. (Eds.) ICAR 2009: 14th International Conference on Advanced Robotics, proceedings on CD-ROM, paper ID 137, 6 pages (Conference held in Munich, Germany. June 22-26, 2009)

[P41] A. Decugnière, B. Poulain, A. Campo, C. Pinciroli, B. Tartini, M. Osée, M. Dorigo, and M. Birattari (2008).   Enhancing the cooperative transport of multiple objects.   In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, and A.F.T. Winfield (Eds.) Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, LNCS 5217, pp. 307-314, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 22-24, 2008)

[P40] C. Pinciroli, M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo (2008).   Lattice formation in space for a swarm of pico satellites.   In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, and A.F.T. Winfield (Eds.) Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, LNCS 5217, pp. 347-354, Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 22-24, 2008)

[P39] C. Pinciroli, M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo (2008).   Self-organizing and scalable shape formation for a swarm of pico satellites.   In D. Keymeulen, T. Arslan, M. Suess, A. Stoica, A.T. Erdogan, and D. Merodio (Eds.) 2008 NASA/ESA Conference on Adaptive Hardware and Systems, pp. 57-61. IEEE Computer Society, Los Alamitos, CA, USA (Conference held in Noordwijk, The Netherlands. June 22-25, 2008)

[P38] R. Lenne, C. Solnon, T. Stützle, E. Tannier, and M. Birattari (2008).   Reactive stochastic local search algorithms for the genomic median problem.   In J. van Hemert and C. Cotta (Eds.) Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, LNCS 4972, pp. 266-276, Springer. Berlin, Germany (Conference held in Naple, Italy. March 26-27, 2008)

[P37] P. Balaprakash, M. Birattari, T. Stützle (2007).   Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement.   In T. Bartz-Beielstein, M. J. Blesa Aguilera, C. Blum, B. Naujoks, A. Roli, G. Rudolph, and M. Sampels (Eds.) Hybrid Metaheuristics, 4th International Workshop, HM 2007, LNCS 4771, pp. 108-122. Springer. Berlin, Germany (Conference held in Dortmund, Germany. October 8-9, 2007)

[P36] A. L. Christensen, R. O'Grady, M. Birattari, and M. Dorigo (2007).   Exogenous fault detection in a collective robotic task.   In F. Almeida e Costa, L. Mateus, E. Costa, I. Harvey, and A. Coutinho (Eds.) Advances in Artificial Life, 9th European Conference, ECAL 2007, LNCS 4648, pp. 555-564. Springer. Berlin, Germany (Conference held in Lisbon, Portugal. September 10-14, 2007)

[P35] P. Pellegrini and M. Birattari (2007).   Implementation effort and performance: A comparison of custom and out-of-the-box metaheuristics on the vehicle routing problem with stochastic demand.   In T. Stützle, M. Birattari, and H. H. Hoos (Eds.) Engineering Stochastic Local Search Algorithms, International Workshop, SLS 2007, LNCS 4638, pp. 31-45. Springer. Berlin, Germany (Conference held in Brussels, Belgium. September 6-8, 2007)

[P34] A. L. Christensen, R. O'Grady, M. Birattari, and M. Dorigo (2007).   Automatic synthesis of fault detection modules for mobile robots.   In T. Arslan et al. (Eds.) 2007 NASA/ESA Conference on Adaptive Hardware and Systems, pp. 693-700, IEEE Computer Society, Los Alamitos, CA, USA (Conference held in Edinburgh, United Kingdom. August 5-8, 2007)

[P33] M. Birattari, P. Balaprakash, T. Stützle, and M. Dorigo (2007).   Estimation-based local search for the probabilistic traveling salesman problem.   In M. Gendreau, T. G. Crainic, L.-M. Rousseau, and P. Soriano (Eds.) MIC 2007: The 7th Metaheuristics International Conference, p. 141, CIRRELT, Montreal, Canada (Conference held in Montreal, Canada. June 25-29, 2007)

[P32] A. Campo, S. Nouyan, M. Birattari, R. Groß, and M. Dorigo (2006).   Enhancing cooperative transport using negotiation of goal direction.   In P.-Y. Schobbens, W. Vanhoof, and G. Schwanen (Eds.) BNAIC 2006: 18th Belgium - Netherlands Conference on Artificial Intelligence, pp. 365-366, University of Namur, Namur, Belgium (Conference held in Namur, Belgium. October 5-6, 2006)

[P31] M. Manfrin, M. Birattari, T. Stützle, and M. Dorigo (2006).   Parallel multicolony ACO algorithm with exchange of solutions.   In P.-Y. Schobbens, W. Vanhoof, and G. Schwanen (Eds.) BNAIC 2006: 18th Belgium - Netherlands Conference on Artificial Intelligence, pp. 409-410, University of Namur, Namur, Belgium (Conference held in Namur, Belgium. October 5-6, 2006)

[P30] M. Birattari, P. Pellegrini, and M. Dorigo (2006).   On the invariance of ant system.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 215-223. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P29] A. Campo, S. Nouyan, M. Birattari, R. Groß, and M. Dorigo (2006).   Negotiation of goal direction for cooperative transport.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 191-202. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P28] M. A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2006).   A comparison of particle swarm optimization algorithms based on run-length distributions.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 1-12. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P27] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2006).   Incremental local search in ant colony optimization: Why it fails for the quadratic assignment problem.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 156-166. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P26] M. Manfrin, M. Birattari, T. Stützle, and M. Dorigo (2006).   Parallel ant colony optimization for the traveling salesman problem.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 224-234. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P25] J. A. Sabino, T. Stützle, M. Birattari, and J. E. Leal (2006).   Ant colony optimization applied to switch engine scheduling in a railroad yard.   In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (Eds.) Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, LNCS 4150 pp. 502-503. Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 4-7, 2006)

[P24] M. Birattari, P. Balaprakash, and M. Dorigo (2005).   ACO/F-Race: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty.   In K. F. Doerner, M. Gendreau, P. Greistorfer, W. J. Gutjahr, R. F. Hartl, and M. Reimann (Eds.) MIC 2005: The 6th Metaheuristics International Conference, pp. 107-112 (Conference held in Vienna, Austria. August 22-26, 2005)

[P23] G. Bontempi, M. Birattari, and P. E. Meyer (2005).   Combining lazy learning, racing and subsampling for effective feature selection.   In B. Ribeiro, R. F. Albrecht, A. Dobnikar, D. W. Pearson, and N. C. Steele (Eds.) ICANNGA05: 7th International Conference on Adaptive and Natural Computing Algorithms, pp. 393-396. Springer, Vienna, Austria (Conference held in Coimbra, Portugal. March 21-23, 2005)

[P22] L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto (2004).   Metaheuristics for the Vehicle Routing Problem with Stochastic Demands.   In X. Yao, E. Burke, J. A. Lozano, J. Smith, J. J. Merelo-Guervós, J. A. Bullinaria, J. Rowe, P. Tino, A. Kabán, and H.-P. Schwefel (Eds.) Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference. LNCS 3242, pp. 450-460. Springer, Berlin, Germany (Conference held in Birmingham, UK. September 18-22, 2004)

[P21] C. Piscopo and M. Birattari (2002).   Invention vs. Discovery. A critical discussion.   In S. Lange, K. Satoh, C. H. Smith (Eds.) Discovery Science. 5th International Conference, DS 2002. LNCS 2534, pp. 457-462. Springer, Berlin, Germany (Conference held in Lübeck, Germany. November 24-26, 2002)

[P20] M. Birattari, G. Di Caro, and M. Dorigo (2002).   Toward the formal foundation of Ant Programming.   In M. Dorigo, G. Di Caro, and M. Samples (Eds.) Ant Algorithms. Third International workshop, ANTS 2002. LNCS 2463, pp. 188-201, Springer, Berlin, Germany (Conference held in Brussels, Belgium. September 12-14, 2002)

[P19] O. Rossi-Doria, M. Sampels, M. Birattari, M. Chiarandini, M. Dorigo, L. M. Gambardella, J. Knowles, M. Manfrin, M. Mastrolilli, B. Paechter, L. Paquete, and T. Stützle (2002).   A comparison of the performance of different metaheuristics on the timetabling problem.   In E. Burke and P. De Causmaecker (Eds.) PATAT 2002: Proceedings of the Fourth International Conference on the Practice and Theory of Automated Timetabling, pp. 115-119. KaHo Sint-Lieven, Department of Industrial Engineering, Gent, Belgium (Conference held in Gent, Belgium. August 21-23, 2002)

[P18] M. Birattari, T. Stützle, L. Paquete, and K. Varrentrapp (2002).   A Racing Algorithm for Configuring Metaheuristics.   In W. B. Langdon, E. Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska (Eds.) GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 11-18. Morgan Kaufmann, San Francisco, CA, USA (Conference held in New York, NY, USA. July 9-13, 2002) SIGEVO Impact Award 2012

[P17] M. Dorigo, M. Zlochin, N. Meuleau, and M. Birattari (2002).   Updating ACO pheromones using Stochastic Gradient Ascent and Cross-Entropy methods.   In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and R. Raidl (Eds.) Applications of Evolutionary Computing. EvoWorkshops 2002: EvoCOP, EvoSTIM/EvoPLAN. LNCS 2279, pp. 21-30, Springer, Berlin, Germany (Conference held in Kinsale, Ireland. April 3-5, 2002)

[P16] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Data-Driven Techniques for Divide and Conquer Adaptive Control.   In V. Zakharov (Ed.) Control Applications of Optimization. Proceedings of the 11th IFAC International Workshop, CAO2000, pp. 70-75, Pergamon Press/Elsevier, Oxford, United Kingdom (Conference held in St. Petersburg, Russia. July 3-6, 2000)

[P15] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Multiple Models for Adaptive Control: The Lazy and the Fuzzy Approach.   In R. Smith (Ed.) System Identification. A Proceedings volume from the 12th IFAC Symposium on System Identification. SYSID 2000, Pergamon Press/Elsevier, Oxford, United Kingdom (Conference held in Santa Barbara, CA, USA. June 21-23, 2000)

[P14] G. Bontempi and M. Birattari (2000).   A multi-step-ahead prediction method based on local dynamic properties.   In M. Verleysen (Ed.) ESANN 2000: European Symposium on Artificial Neural Networks, pp. 311-316. D-Facto Publications, Brussels, Belgium (Conference held in Bruges, Belgium. April 26-28, 2000)

[P13] G. Bontempi, E. Bertolissi, and M. Birattari (2000).   Predicting stock markets in boundary conditions with local models.   CIFEr 2000: Proceedings of the IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering, pp. 158-161 (Conference held in New York, NY, USA. March 26-28, 2000)

[P12] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Lazy Learning vs. Fuzzy Systems: Two multiple-model approaches for adaptive control.   ACIDCA 2000: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications, pp.6-11 (Conference held in Monastir, Tunisia. March 22-24, 2000)

[P11] G. Bontempi, M. Birattari, and H. Bersini (1999).   Lazy Learners at Work: The Lazy Learning Toolbox.   EUFIT'99: The 7th European Congress on Intelligent Techniques and Soft Computing, Erudit TTC on Proceedings CD (Conference held in Aachen, Germany. September 13-16, 1999)

[P10] G. Bontempi and M. Birattari (1999).   A bound on the cross-validation estimate for algorithm assessment.   In E. Postma and M. Gyssens (Eds.) BNAIC'99: Proceedings of the 11th Belgium-Netherlands Conference on Artificial Intelligence, pp. 115-122. Universiteit Maastricht, Maastricht, The Netherlands (Conference held in Maastricht, The Netherlands. November 3-4, 1999) Best Paper Award

[P09] G. Bontempi, M. Birattari, and H. Bersini (1999).   Local learning for iterated time-series prediction.   In I. Bradko and S. Dzeroski (Eds.) ICML'99: International Conference on Machine Learning, pp. 32-38. Morgan Kaufmann, San Francisco, CA, USA (Conference held in Bled, Slovenia. June 27-30, 1999)

[P08] M. Birattari, G. Bontempi, and H. Bersini (1999).   Lazy learning meets the recursive least squares algorithm.   In M. S. Kearns, S. A. Solla, and D. A. Cohn (Eds.) NIPS'98: Advances in Neural Information Processing Systems 11. pp. 375-381. MIT Press, Cambridge, MA, USA (Conference held in Denver, CO, USA. December 1-3, 1998)

[P07] G. Bontempi, M. Birattari, and H. Bersini (1998).   Lazy learning for iterated time-series prediction.   In J. A. K. Suykens and J. Vandewalle (Eds.) International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling, pp. 62-68. Katholieke Universiteit Leuven, Belgium (Conference held in Leuven, Belgium. July 8-10, 1998)

[P06] M. Birattari, G. Bontempi, and H. Bersini (1998).   Local learning for data analysis.   In F. Verdenius and W. van den Broek (Eds.) Benelearn '98: Proceedings of the 8th Belgian-Dutch Conference on Machine Learning, pp. 55-61. ATO-DLO, Wageningen, The Netherlands (Conference held in Wageningen, The Netherlands. October 1998)

[P05] G. Bontempi, M. Birattari, and H. Bersini (1998).   Local learning for nonlinear control.   In H. J. C. Huiberts and H. Nijmeijer (Eds.) NOLCOS'98: Nonlinear Control Systems Design Symposium, pp. 360-365. University of Twente, Enschede, Netherlands (Conference held in Enschede, The Netherlands. July 1-3, 1998)

[P04] H. Bersini, G. Bontempi, and M. Birattari (1998).   Is readability compatible with accuracy? From neuro-fuzzy to lazy learning.   In W. Brauer (Ed.) Fuzzy-Neuro Systems '98 - Computational Intelligence: Proceedings of the 5th International Workshop on Fuzzy-Neuro Systems, pp. 10-25. IOS Press, Amsterdam, The Netherlands (Conference held in Munich, Germany. March 18-20, 1998)

[P03] G. Bontempi, M. Birattari, and H. Bersini (1998).   Lazy learning for control design.   In M. Verleysen (Ed.) ESANN'98: European Symposium on Artificial Neural Networks, pp. 73-78. D-Facto Publications, Brussels, Belgium (Conference held in Bruges, Belgium. April 22-24, 1998)

[P02] G. Bontempi, M. Birattari, and H. Bersini (1998).   Recursive lazy learning for modeling and control.   In C. Nédellec and C. Rouveirol (Eds.) Machine Learning: ECML-98. 10th European Conference on Machine Learning. LNCS 1398, pp. 292-303. Springer, Berlin, Germany (Conference held in Chemnitz, Germany. April 21-24, 1998)

[P01] H. Bersini, M. Birattari, and G. Bontempi (1998).   Adaptive memory based regression methods.   IJCNN'98: International Joint Conference on Neural Networks, pp. 2102-2106. IEEE Publications, Piscataway, NJ, USA (Conference held in Anchorage, AK, USA. May 4-8, 1998)

Articles presented at workshops/conferences no formal proceedings

[W24] M. Kegeleirs, D. Garzón Ramos, L. Garattoni, G. Francesca, M. Birattari (2023).   Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms.   In M.C. Welle et al. (Eds.) Transferability in Robotics, ICRA 2023. (Conference held in London, UK. June 2, 2023)

[W23] G. Legarda Herranz, E. Garone, and M. Birattari (2022).   A hybrid-system formalism to verify properties of robot swarms.   In A. Vande Wouwer et al. (Eds.) 41st Benelux Meeting on Systems and Control, p. 46. Université de Mons and Université Libre Bruxelles, Belgium. (Conference held in Brussels, Belgium. July 5-7, 2022)

[W22] D. Garzón Ramos, J.P. Bolaños, J. Diaz, G. Pachajoa, and M. Birattari (2021).   Introduciendo la robótica de enjambres a entusiastas de la robótica: experiencias y resultados de una colaboración académica.   In. E. Ramírez Vargas et al. (Eds.) Congreso Internacional de la Sociedad de Doctores e Investigadores de Colombia, pp.46-48. Editorial SoPhIC, Bogotá, Colombia. (Conference held in Bogotá, Colombia. August 4-6, 2021)

[W21] D. Garzón Ramos, D. Bozhinoski, G. Francesca, L. Garattoni, K. Hasselmann, M. Kegeleirs, J. Kuckling, A. Ligot, F. J. Mendiburu, F. Pagnozzi, M. Salman, T. Stützle, and M. Birattari (2021).   The automatic off-line design of robot swarms: recent advances and perspectives.   In G. De Masi, E. Ferrante, and P. Dario (Eds.) R2T2: Robotics Research for Tomorrow’s Technology. Technology Innovation Institute, Abu Dhabi, United Arab Emirates. (Online conference. March 10-11, 2021)

[W20] A. Roli, S. Benedettini, M. Birattari, C. Pinciroli, R. Serra, M. Villani (2011).   Robustness, evolvability and complexity in Boolean network robots.   In S. Thurner and M. Szell (Eds.) Book of Abstracts, ECCS'11 Vienna: European Conference on Complex Systems, pp. 117-118. Löcker Verlag, Vienna, Austria (Conference held in Vienna, Austria. September 12-16, 2011)

[W19] M. Birattari, M. Chiarandini, M. Saerens, and T. Stützle (2011).   Learning Graphical Models for Algorithm Configuration.   In T. Berthold, A.M. Gleixner, S. Heinz, and T. Koch (Eds.) CPAIOR 2011: 8th International Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming for Combinatorial Optimization Problems. Berlin, Germany (Conference held in Berlin, Germany. May 23-27, 2011)

[W18] E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo (2011).   Socially-mediated negotiation for obstacle avoidance in collective transport.   In A. Martinoli and F. Mondada (Eds.) DARS 2010: 10th International Symposium on Distributed Autonomous Robotic Systems (Conference held in Lausanne, Switzerland. November 1-3, 2010)

[W17] P. Pellegrini, T. Stutzle, and M. Birattari (2010)   On the importance of the initial setting when tuning on-line the parameters of metaheuristics..   In J. P. Paixão et al (Eds.) EURO 2010: 24th European Conference on Operation Research (Conference held in Lisbon, Potugal. July 11-14, 2010)

[W16] M. A. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo (2009)   Optimal collective decision-making through social influence and different action execution times.   In D. Curran and C. O'Riordan (Eds.) Organisation, Cooperation and Emergence in Social Learning Agents - ECAL 2009 Workshop (Conference held in Budapest, Hungary. September 15, 2009)

[W15] Z. Yuan, T. Stützle, and M. Birattari (2009)   Combining F-Race and mesh adaptive direct search for automatic algorithm configuration.   In F. Hutter and M. A. Montes de Oca (Eds.) SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 21-25 (Conference held in Brussels, Belgium. September 4, 2009)

[W14] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2008).   Estimation-based stochastic local search algorithms for the stochastic routing problems.   In E.-G. Talbi and K. Mellouli (Eds.) International Conference on Metaheuristics and Nature Inspired Computing, META'08 (Conference held in Hammamet, Tunisia. October 29-31, 2008)

[W13] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2008).   Applications of estimation-based SLS algorithms to stochastic routing problems.   In P. Hansen and S. Voss (Eds.) Metaheuristics 2008, Second International Workshop on Model Based Metaheuristics (Conference held in Bertinoro, Italy. June 16-18, 2008)

[W12] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2007).   An experimental study of estimation-based metaheuristics for the probabilistic traveling salesman problem.   In V. Maniezzo, R. Battiti, and J.-P. Watson (Eds.) LION 2007 II: Learning and Intelligent Optimization (Conference held in Trento, Italy. December 8-12, 2007)

[W11] R. Lenne, C. Solnon, T. Stützle, E. Tannier, and M. Birattari (2007).   Effective stochastic local search algorithms for the genomic median problem.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 1-5 (Conference held in Brussels, Belgium. September 7, 2007)

[W10] M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2007).   Composing particle swarm optimization algorithms.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 6-10 (Conference held in Brussels, Belgium. September 7, 2007)

[W09] M. S. Bin Hussin, T. Stützle, and M. Birattari (2007).   A study of stochastic local search algorithms for the quadratic assignment problem.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 11-15 (Conference held in Brussels, Belgium. September 7, 2007)

[W08] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2007).   Sampling strategies and local search for stochastic combinatorial optimization.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 16-20 (Conference held in Brussels, Belgium. September 7, 2007)

[W07] M. Manfrin, M. Birattari, T. Stützle, and M. Dorigo (2007).   Communication policies for a parallel multi-colony ACO algorithm with identical colonies.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 31-35 (Conference held in Brussels, Belgium. September 7, 2007)

[W06] T. T. Huynh, T. Stützle, M. Birattari, and Y. De Smet (2007).   A study of ant colony optimization algorithms for a biobjective permutation flowshop problem.   In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pp. 58-62 (Conference held in Brussels, Belgium. September 7, 2007)

[W05] M. Birattari and T. Stützle (2006).   F-Races: A tool for the automatic configuration of stochastic local search algorithms.   ECCO XIX - CO2006 Joint Meeting (Conference held in Porto, Portugal. May 11-13, 2006)

[W04] M. Manfrin, M. Birattari, and M. Dorigo (2005).   Parallelization of ant colony optimization.   Making Europe more attractive for researchers. A Marie Curie Action (Conference held in Pisa/Livorno, Italy. Settembre 28-30, 2005)

[W03] M. Chiarandini, T. Stützle, and M. Birattari (2005).   Applying stochastic local search methods to timetabling: an engineering process.   In R. De Leone, E. Marchitto, and A. G. Quaranta (Eds.) XXXVI Annual Conference of the Italian Operational Research Society, p. 74 (Conference held in Camerino, Italy. Settembre 6-9, 2005)

[W02] G. Bontempi and M. Birattari (1997).   Lazy learning indirect control for discrete-time non-linear systems.   In T. A. Johansen and B. A. Foss (Eds.) Abstracts of Workshop on Multiple Model Approaches to Modelling and Control, pp. 72-80 (Conference held in Trondheim, Norway. September 29-30, 1997)

[W01] H. Bersini, M. Birattari, and G. Bontempi (1997).   Combining Dynamic Programming and Neurocontrol: Some Basic Issues.   In H. Bersini, M. Dorigo, P. Y. Glorennec, L. Jouffe, and E. Anquetil (Eds.) Third European Workshop on Reinforcement Learning (Conference held in Rennes, France. October 13-14, 1997)

Technical reports

[R126] A. Cotorruelo, A. Ligot, E. Garone, and M. Birattari (2021). Minimizing the variance in the estimation of the performance of a method for the fully-automatic design of robot swarms: a mathematical proof.   Technical Report TR/IRIDIA/2021-007.   IRIDIA, Université Libre de Bruxelles, Belgium

[R125] M. Birattari (2020). Notes on the estimation of the expected performance of automatic methods for the design of control software for robot swarms.   Technical Report TR/IRIDIA/2020-010.   IRIDIA, Université Libre de Bruxelles, Belgium

[R124] L. Garattoni, G. Francesca, A. Brutschy, C. Pinciroli, and M. Birattari (2015).   Software Infrastructure for E-puck (and TAM).   Technical Report TR/IRIDIA/2015-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R123] G. Francesca, M. Brambilla, A. Brutschy, L. Garattoni, R. Miletitch, G. Podevijn, A. Reina, T. Soleymani, M. Salvaro, C. Pinciroli, F. Mascia, V. Trianni, M. Birattari (2014).   AutoMoDe-Chocolate: automatic design of control software for robot swarms.   Technical Report TR/IRIDIA/2014-015.   IRIDIA, Université Libre de Bruxelles, Belgium

[R122] G. Francesca, M. Brambilla, A. Brutschy, L. Garattoni, R. Miletitch, G. Podevijn, A. Reina, T. Soleymani, M. Salvaro, C. Pinciroli, V. Trianni, M. Birattari (2014).   An experiment in automatic design of robot swarms: AutoMoDe-Vanilla, EvoStick, and human experts.   Technical Report TR/IRIDIA/2014-007.   IRIDIA, Université Libre de Bruxelles, Belgium

[R121] M. Brambilla, M. Dorigo, M. Birattari (2014).   Property-driven design for robot swarms: a design method based on prescriptive modeling and model checking.   Technical Report TR/IRIDIA/2014-003.   IRIDIA, Université Libre de Bruxelles, Belgium

[R120] G. Francesca, M. Brambilla, A. Brutschy, V. Trianni, M. Birattari (2014).   AutoMoDe: a novel approach to the automatic design of control software for robot swarms.   Technical Report TR/IRIDIA/2014-001.   IRIDIA, Université Libre de Bruxelles, Belgium

[R119] A. Stranieri, A.E. Turgut, M. Salvaro, L. Garattoni, G. Francesca, A. Reina, M. Dorigo, M. Birattari (2013).   IRIDIA's arena tracking system.   Technical Report TR/IRIDIA/2013-013.   IRIDIA, Université Libre de Bruxelles, Belgium

[R118] M. Pace, M. Birattari, M. Dorigo (2013).   The swarm/potential model: modeling robotics swarms with measure-valued recursions associated to random finite sets.   Technical Report TR/IRIDIA/2013-008.   IRIDIA, Université Libre de Bruxelles, Belgium

[R117] F. Mascia, M. Birattari, T. Stützle (2013).   Tuning algorithms for tackling large instances: an experimental protocol.   Technical Report TR/IRIDIA/2013-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R116] G. Pini, M. Gagliolo, A. Brutschy, M. Dorigo, M. Birattari (2013).   Task partitioning in a robot swarm: a study on the effect of communication.   Technical Report TR/IRIDIA/2013-001.   IRIDIA, Université Libre de Bruxelles, Belgium

[R115] G. Pini, A. Brutschy, C. Pinciroli, M. Dorigo, M. Birattari (2012).   Autonomous task partitioning in swarms of robots: an approach based on cost estimation.   Technical Report TR/IRIDIA/2012-018.   IRIDIA, Université Libre de Bruxelles, Belgium

[R114] L. Garattoni, C. Pinciroli, A. Roli, M. Amaducci, M. Birattari (2012).   Finite state automata synthesis in Boolean network robotics.   Technical Report TR/IRIDIA/2012-017.   IRIDIA, Université Libre de Bruxelles, Belgium

[R113] M. Brambilla, E. Ferrante, M. Birattari, M. Dorigo (2012).   Swarm robotics: a review from the swarm engineering perspective.   Technical Report TR/IRIDIA/2012-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R112] A. Brutschy, N. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, M. Birattari (2012).   Costs and benefits of behavioral specialization.   Technical Report TR/IRIDIA/2012-011.   IRIDIA, Université Libre de Bruxelles, Belgium

[R111] G. Pini, A. Brutschy, A. Scheidler, M. Dorigo, M. Birattari (2012).   Task partitioning in a robot swarm: retrieving objects by transferring them directly between sequential sub-tasks.   Technical Report TR/IRIDIA/2012-010.   IRIDIA, Université Libre de Bruxelles, Belgium

[R110] G. Pini, A. Brutschy, G. Francesca, M. Dorigo, M. Birattari (2012).   Multi-armed bandit formulation of the task partitioning problem in swarm robotics.   Technical Report TR/IRIDIA/2012-009.   IRIDIA, Université Libre de Bruxelles, Belgium

[R109] A. Brutschy, G. Pini, C. Pinciroli, M. Birattari, M. Dorigo (2012).   Self-organized task allocation to sequentially interdependent tasks in swarm robotics.   Technical Report TR/IRIDIA/2012-008.   IRIDIA, Université Libre de Bruxelles, Belgium

[R108] Z. Yuan, T. Stützle, M. Montes de Oca, H.C. Lau, M. Birattari (2012).   An analysis of post-selection in automatic configuration.   Technical Report TR/IRIDIA/2012-007.   IRIDIA, Université Libre de Bruxelles, Belgium

[R107] G. Valentini, M. Birattari, M. Dorigo (2012).   Majority rule with differential latency: an absorbing Markov chain to model consensus.   Technical Report TR/IRIDIA/2012-006.   IRIDIA, Université Libre de Bruxelles, Belgium

[R106] M. Massink, M. Brambilla, D. Latella, M. Dorigo, M. Birattari (2012).   Analysing robot swarm decision-making with Bio-PEPA.   Technical Report TR/IRIDIA/2012-005.   IRIDIA, Université Libre de Bruxelles, Belgium

[R105] F. Mascia, P. Pellegrini, T. Stützle, M. Birattari (2011).   An analysis of parameter adaptation in reactive tabu search.  Technical Report TR/IRIDIA/2011-026.   IRIDIA, Université Libre de Bruxelles, Belgium

[R104] P. Pellegrini, F. Mascia, T. Stützle, M. Birattari (2011).   On the sensitivity of reactive tabu search to its meta-parameters.  Technical Report TR/IRIDIA/2011-025.   IRIDIA, Université Libre de Bruxelles, Belgium

[R103] A. Reina, C. Pinciroli, E. Ferrante, A. E. Turgut, R. O'Grady, M. Birattari, M. Dorigo (2011).   Closed-loop aerial robot-assisted navigation of a cohesive ground-based robot swarm.  Technical Report TR/IRIDIA/2011-020.   IRIDIA, Université Libre de Bruxelles, Belgium

[R102] G. Francesca, G. Pini, A. Brutschy, C. Pinciroli, M. Dorigo, and M. Birattari (2011).   Task partitioning in swarm robotics as a multi-armed bandit problem.  Technical Report TR/IRIDIA/2011-019.   IRIDIA, Université Libre de Bruxelles, Belgium

[R101] P. Pellegrini, T. Stützle, and M. Birattari (2011).   A critical analysis of parameter adaptation in ant colony optimization.  Technical Report TR/IRIDIA/2011-018.   IRIDIA, Université Libre de Bruxelles, Belgium

[R100] Z. Yuan, M. A. Montes de Oca, M. Birattari, and T. Stützle (2011).   Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms.  Technical Report TR/IRIDIA/2011-017.   IRIDIA, Université Libre de Bruxelles, Belgium

[R099] A. Brutschy, N.-L. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, and M. Birattari (2011).   Costs and benefits of behavioral specialization.  Technical Report TR/IRIDIA/2011-016.   IRIDIA, Université Libre de Bruxelles, Belgium

[R098] M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugnière, G. Di Caro, F. Ducatelle, E. Ferrante, A. Fröster, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. Rétornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, V. Trianni, E. Tuci, A. E. Turgut and F. Vaussard (2011)   Swarmanoid: A novel concept for the study of heterogeneous robotic swarms.  Technical Report TR/IRIDIA/2011-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R097] G. Pini, A. Brutschy, M. Frison, A. Roli, M. Dorigo, and M. Birattari (2011).   Task partitioning in swarms of robots: an adaptive method for strategy selection.  Technical Report TR/IRIDIA/2011-013.   IRIDIA, Université Libre de Bruxelles, Belgium

[R096] A. Stranieri, E. Ferrante, A. E. Turgut, V. Trianni, C. Pinciroli, M. Birattari, and M. Dorigo (2011).   Self-organized flocking with a heterogeneous mobile robot swarm.  Technical Report TR/IRIDIA/2011-012.   IRIDIA, Université Libre de Bruxelles, Belgium

[R095] M. López-Ibáñez, J. Dubois-Lacoste, T. Stützle, and M. Birattari (2011).   The irace package, iterated race for automatic algorithm configuration.  Technical Report TR/IRIDIA/2011-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R094] M. Birattari, M. Chiarandini, M. Saerens, and T. Stützle (2011).   Learning graphical models for parameter tuning.  Technical Report TR/IRIDIA/2011-002.   IRIDIA, Université Libre de Bruxelles, Belgium

[R093] P. Pellegrini, T. Stützle, and M. Birattari (2010).   Tuning MAX-MIN ant system with off-line and on-line methods.  Technical Report TR/IRIDIA/2010-024.   IRIDIA, Université Libre de Bruxelles, Belgium

[R092] M. A. Montes de Oca, E. Ferrante, A. Scheidler, C. Pinciroli, M. Birattari, and M. Dorigo (2010).   Majority-rule opinion dynamics with differential latency: A mechanism for self-organized collective decision-making.  Technical Report TR/IRIDIA/2010-023.   IRIDIA, Université Libre de Bruxelles, Belgium

[R091] M. A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2010).   Incremental social learning applied to a decentralized decision-making mechanism: Collective learning made faster.  Technical Report TR/IRIDIA/2010-018.   IRIDIA, Université Libre de Bruxelles, Belgium

[R090] M. Frison, N.-L. Tran, N. Baiboun, A. Brutschy, G. Pini, A. Roli, M. Dorigo, and M. Birattari (2010).   Self-organized task partitioning in a swarm of robots.  Technical Report TR/IRIDIA/2010-016.   IRIDIA, Université Libre de Bruxelles, Belgium

[R089] A. Brutschy, G. Pini, N. Baiboun, A. Decunière, and M. Birattari (2010).   The IRIDIA TAM: A device for task abstraction for the e-puck robot.  Technical Report TR/IRIDIA/2010-015.   IRIDIA, Université Libre de Bruxelles, Belgium

[R088] E. Ferrante, A.E. Turgut, N. Mathews, M. Birattari, and M. Dorigo (2010).   The role of explicit alignment in self-organized flocking.  Technical Report TR/IRIDIA/2010-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R087] E. Ferrante, A.E. Turgut, N. Mathews, M. Birattari, and M. Dorigo (2010).   Flocking in stationary and non-stationary environments: A novel communication strategy for heading alignment.  Technical Report TR/IRIDIA/2010-013.   IRIDIA, Université Libre de Bruxelles, Belgium

[R086] Z. Yuan, M. A. Montes de Oca, T. Stützle, and M. Birattari (2010).   Modern continuous optimization algorithms for tuning real and integer algorithm parameters.  Technical Report TR/IRIDIA/2010-010.   IRIDIA, Université Libre de Bruxelles, Belgium

[R085] P. Pellegrini, T. Stützle, and M. Birattari (2010).   Off-line vs. on-line tuning: A study on MAX-MIN ant system for the TSP.  Technical Report TR/IRIDIA/2010-009.   IRIDIA, Université Libre de Bruxelles, Belgium

[R084] E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo (2010).   "Look out!": Socially-mediated obstacle avoidance in collective transport.  Technical Report TR/IRIDIA/2010-005.   IRIDIA, Université Libre de Bruxelles, Belgium

[R083] M. A. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo (2010).   Opinion dynamics for decentralized decision-making in a robot swarm.  Technical Report TR/IRIDIA/2010-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R082] T. Stützle, M. López-Ibáñez, P. Pellegrini, M. Maur, M. A. Montes de Oca, M. Birattari, and M. Dorigo (2010).   Parameter adaptation in ant colony optimization.  Technical Report TR/IRIDIA/2010-002.   IRIDIA, Université Libre de Bruxelles, Belgium

[R081] Z. Yuan, T. Stützle and M. Birattari (2010).   MADS/F-Race: Mesh adaptive direct search meets F-race.  Technical Report TR/IRIDIA/2010-001.   IRIDIA, Université Libre de Bruxelles, Belgium

[R080] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2009).   Estimation-based metaheuristics for the probabilistic traveling salesman problem: A comparison to progressive approximation, the aggregation approach, and simulated annealing.   Technical Report TR/IRIDIA/2009-025.   IRIDIA, Université Libre de Bruxelles, Belgium

[R079] M. A. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo (2009).   Optimal collective decision-making through social influence and different action execution times.   Technical Report TR/IRIDIA/2009-023.   IRIDIA, Université Libre de Bruxelles, Belgium

[R078] M. Birattari, Z. Yuan, P. Balaprakash and T. Stützle (2009).   F-Race and Iterated F-Race: An overview.   Technical Report TR/IRIDIA/2009-018.   IRIDIA, Université Libre de Bruxelles, Belgium

[R077] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2009).   Estimation-based metaheuristics for the probabilistic traveling salesman problem.   Technical Report TR/IRIDIA/2009-017.   IRIDIA, Université Libre de Bruxelles, Belgium

[R076] C. Twomey, T. Stützle, M. Dorigo, M. Manfrin and M. Birattari (2009).   An analysis of communication policies for homogeneous multi-colony ACO algorithms.   Technical Report TR/IRIDIA/2009-012.   IRIDIA, Université Libre de Bruxelles, Belgium

[R075] G. Pini, A. Brutschy, M. Birattari, and M. Dorigo (2009).   Interference reduction through task partitioning in a robotic swarm.   Technical Report TR/IRIDIA/2009-006.   IRIDIA, Université Libre de Bruxelles, Belgium

[R074] C. Piscopo and M. Birattari (2009).   On the role of correspondence in the similarity approach.   Technical Report TR/IRIDIA/2009-003.   IRIDIA, Université Libre de Bruxelles, Belgium

[R073] P. Balaprakash, M. Birattari, T. Stützle, Z. Yuan, and M. Dorigo (2008).   Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem.   Technical Report TR/IRIDIA/2008-020.   IRIDIA, Université Libre de Bruxelles, Belgium

[R072] A. Decugnière, B. Poulain, A. Campo, C. Pinciroli, B. Tartini, M. Osée, M. Dorigo, and M. Birattari (2008).   The cart-bot and the cooperative transport of multiple objects in the swarmanoid project.   Technical Report TR/IRIDIA/2008-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R071] C. Piscopo and M. Birattari (2008).   The explanation of the success of science.   Technical Report TR/IRIDIA/2008-013.   IRIDIA, Université Libre de Bruxelles, Belgium

[R070] C. Pinciroli, M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo (2008).   Self-organizing and scalable shape formation for a swarm of pico satellites.   Technical Report TR/IRIDIA/2008-009.   IRIDIA, Université Libre de Bruxelles, Belgium

[R069] P. Balaprakash, M. Birattari, and T. Stützle (2007).   Engineering stochastic local search algorithms: A case study in estimation-based local search for the probabilistic traveling salesman problem.   Technical Report TR/IRIDIA/2007-022.   IRIDIA, Université Libre de Bruxelles, Belgium

[R068] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2007).   An experimental study of estimation-based metaheuristics for the probabilistic traveling salesman problem.   Technical Report TR/IRIDIA/2007-021.   IRIDIA, Université Libre de Bruxelles, Belgium

[R067] C. Piscopo and M. Birattari (2007).   On the use of probability in artificial intelligence: The metaphysical character of the non-adequacy claim.   Technical Report TR/IRIDIA/2007-018.   IRIDIA, Université Libre de Bruxelles, Belgium

[R066] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2007).   Adaptive sample size and importance sampling in estimation-based local search for stochastic combinatorial optimization: A complete analysis.   Technical Report TR/IRIDIA/2007-015.   IRIDIA, Université Libre de Bruxelles, Belgium

[R065] E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (Eds.) (2007).   SLS-DS 2007: Doctoral symposium on engineering stochastic local search algorithms.   Technical Report TR/IRIDIA/2007-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R064] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2007).   Sampling strategies and local search for stochastic combinatorial optimization.   Technical Report TR/IRIDIA/2007-012.   IRIDIA, Université Libre de Bruxelles, Belgium

[R063] P. Balaprakash, M. Birattari, and T. Stützle (2007).   Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement.   Technical Report TR/IRIDIA/2007-011.   IRIDIA, Université Libre de Bruxelles, Belgium

[R062] A. L. Christensen, R. O'Grady, M. Birattari and M. Dorigo (2007).   Exogenous fault detection in a collective robotic task.   Technical Report TR/IRIDIA/2007-010.   IRIDIA, Université Libre de Bruxelles, Belgium

[R061] M. A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2007).   Frankenstein's PSO: An Engineered Composite Particle Swarm Optimization Algorithm.   Technical Report TR/IRIDIA/2007-006.   IRIDIA, Université Libre de Bruxelles, Belgium

[R060] A. L. Christensen, R. O'Grady, M. Birattari and M. Dorigo (2007).   Fault Detection in Autonomous Robots Based on Fault Injection and Learning.   Technical Report TR/IRIDIA/2007-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R059] M. Birattari, P. Balaprakash, T. Stützle, and M. Dorigo (2007).   Estimation-based Local Search for Stochastic Combinatorial Optimization.   Technical Report TR/IRIDIA/2007-003.   IRIDIA, Université Libre de Bruxelles, Belgium

[R058] C. Piscopo and M. Birattari (2007).   Philippe Smets and the Transferable Belief Model: An epistemological perspective.   Technical Report TR/IRIDIA/2007-001.   IRIDIA, Université Libre de Bruxelles, Belgium

[R057] P. Pellegrini and M. Birattari (2006).   Some Combinatorial Optimization Problems on which Ant Colony Optimization is Invariant.   Technical Report TR/IRIDIA/2006-026.   IRIDIA, Université Libre de Bruxelles, Belgium

[R056] M. Birattari, P. Pellegrini, and M. Dorigo (2006).   On the Invariance of Ant Colony Optimization.   Technical Report TR/IRIDIA/2006-025.   IRIDIA, Université Libre de Bruxelles, Belgium

[R055] M. Dorigo, M. Birattari, and T. Stützle (2006).   Ant Colony Optimization. Artificial Ants as a Computational Intelligence Technique.   Technical Report TR/IRIDIA/2006-023.   IRIDIA, Université Libre de Bruxelles, Belgium

[R054] A. Campo, S. Nouyan, M. Birattari, R. Groß, and M. Dorigo (2006).   Negotiation of goal direction for cooperative transport.   Technical Report TR/IRIDIA/2006-014.   IRIDIA, Université Libre de Bruxelles, Belgium

[R053] M. A. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo (2006).   A comparison of particle swarm optimization algorithms based on run-length distributions.   Technical Report TR/IRIDIA/2006-013.   IRIDIA, Université Libre de Bruxelles, Belgium

[R052] P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo (2006).   Incremental local search in ant colony optimization: Why it fails for the quadratic assignment problem.   Technical Report TR/IRIDIA/2006-011.   IRIDIA, Université Libre de Bruxelles, Belgium

[R051] P. Pellegrini and M. Birattari (2006).   The relevance of tuning the parameters of metaheuristics. A case study: The vehicle routing problem with stochastic demand.   Technical Report TR/IRIDIA/2006-008.   IRIDIA, Université Libre de Bruxelles, Belgium

[R050] M. Manfrin and M. Birattari and T. Stützle and M. Dorigo (2006).   Parallel Ant Colony Optimization for the Traveling Salesman Problem.   Technical Report TR/IRIDIA/2006-007.   IRIDIA, Université Libre de Bruxelles, Belgium

[R049] M. Birattari, P. Pellegrini, and M. Dorigo (2006).   On the invariance of ant colony optimization for the traveling salesman problem.   Technical Report TR/IRIDIA/2006-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R048] M. Birattari, P. Pellegrini, and M. Dorigo (2005).   On the invariance of Ant System.   Technical Report TR/IRIDIA/2005-036.   IRIDIA, Université Libre de Bruxelles, Belgium

[R047] S. Nouyan, R. Ghizzioli, M. Birattari, and M. Dorigo (2005).   An Insect-Based Algorithm for the Dynamic Task Allocation Problem.   Technical Report TR/IRIDIA/2005-031.   IRIDIA, Université Libre de Bruxelles, Belgium

[R046] M. Birattari, M. Zlochin, and M. Dorigo (2005).   Towards a Theory of Practice in Metaheuristics Design. A Machine Learning Perspective.   Technical Report TR/IRIDIA/2005-030.   IRIDIA, Université Libre de Bruxelles, Belgium

[R045] P. Pellegrini and M. Birattari (2005).   Instance generator for the vehicle routing problem with stochastic demand.   Technical Report TR/IRIDIA/2005-010.   IRIDIA, Université Libre de Bruxelles, Belgium

[R044] L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto (2005).   Hybrid metaheuristics for the vehicle routing problem with stochastic demands.   Technical Report IDSIA-06-05.   IDSIA, Lugano, Switzerland

[R043] M. Birattari and M. Dorigo (2005).   How to assess and report the performance of a stochastic algorithm on a benchmark problem: Mean or best result on a number of runs?   Technical Report TR/IRIDIA/2005-007.   IRIDIA, Université Libre de Bruxelles, Belgium

[R042] M. Birattari (2005).   The IridiaTrCover package for LaTeX: How to typeset documents for the IRIDIA -- Technical Report Series.   Technical Report TR/IRIDIA/2005-006.   IRIDIA, Université Libre de Bruxelles, Belgium

[R041] R. Ghizzioli, S. Nouyan, M. Birattari, and M. Dorigo (2005).   An ant-based algorithm for the heterogeneous dynamic task allocation problem.   Technical Report TR/IRIDIA/2005-005.   IRIDIA, Université Libre de Bruxelles, Belgium

[R040] M. Birattari, P. Balaprakash, and M. Dorigo (2005).   ACO/F-Race: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty.   Technical Report TR/IRIDIA/2005-004.   IRIDIA, Université Libre de Bruxelles, Belgium

[R039] M. Birattari (2004).   Notes on the Existence of the Expected Value.   Technical Report TR/IRIDIA/2004-20.   IRIDIA, Université Libre de Bruxelles, Belgium

[R038] R. Ghizzioli, S. Nouyan, M. Birattari, and M. Dorigo (2004).   An Ant-Based Algorithm for the Dynamic Task Allocation Problem.   Technical Report TR/IRIDIA/2004-16.   IRIDIA, Université Libre de Bruxelles, Belgium

[R037] T. H. Labella and M. Birattari (2004).   Polyphemus: De Abacorum Racemo.   Technical Report TR/IRIDIA/2004-15.   IRIDIA, Université Libre de Bruxelles, Belgium

[R036] L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, and O. Rossi-Doria (2004).   Research on the vehicle routing problem with stochastic demand.   Technical Report IDSIA-07-04.   IDSIA, Lugano, Switzerland

[R035] G. Bontempi, M. Birattari, and P. E. Meyer (2004).   Combining lazy learning, racing and subsampling for effective feature selection.   Technical Report 527.   Département d'Informatique, Université Libre de Bruxelles, Belgium

[R034] G. Bontempi and M. Birattari (2004).   Sample average approximation for model selection.   Technical Report 525.   Département d'Informatique, Université Libre de Bruxelles, Belgium

[R033] L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto (2004).   Metaheuristics for the vehicle routing problem with stochastic demands.   Technical Report IDSIA-06-04.   IDSIA, Lugano, Switzerland

[R032] M. Birattari (2004).   On the estimation of the expected performance of a metaheuristic on a class of instances. How many instances, how many runs?   Technical Report TR/IRIDIA/2004-01.   IRIDIA, Université Libre de Bruxelles, Belgium

[R031] M. Zlochin, M. Birattari, and M. Dorigo (2004).   Towards a Theory of Practice in Metaheuristics Design. A machine learning perspective.   Technical Report MCS04-01.   Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

[R030] M. Birattari, G. Bontempi (2003).   The lazy package for R. Lazy learning for local regression.   Technical Report TR/IRIDIA/2003-38.   IRIDIA, Université Libre de Bruxelles, Belgium

[R029] M. Birattari (2003).   The race package for R. Racing methods for the selection of the best.   Technical Report TR/IRIDIA/2003-37.   IRIDIA, Université Libre de Bruxelles, Belgium

[R028] C. Piscopo and M. Birattari (2003).   Metaphysical Arguments in Artificial Intelligence: A case study.   Technical Report TR/IRIDIA/2003-26.   IRIDIA, Université Libre de Bruxelles, Belgium

[R027] M. Chiarandini, K. Socha, M. Birattari, and O. Rossi-Doria (2003).   An effective hybrid approach for the university course timetabling problem.   Technical Report AIDA-03-05.   Intellektik, Technische Universität Darmstadt, Darmstadt, Germany

[R026] M. Chiarandini, K. Socha, M. Birattari, and O. Rossi-Doria (2003).   International timetabling competition. A hybrid approach.   Technical Report AIDA-03-04   Intellektik, Technische Universität Darmstadt, Darmstadt, Germany

[R025] C. Piscopo and M. Birattari (2002).   Probabilistic models in artificial intelligence. An epistemological analysis of the debate on their adequacy.   Technical Report TR/IRIDIA/2002-26.   IRIDIA, Université Libre de Bruxelles, Belgium

[R024] O. Rossi-Doria, M. Sampels, J. Knowles, M. Manfrin, M. Birattari, M. Chiarandini, M. Mastrolilli, B. Paechter, M. Dorigo, L. M. Gambardella, L. Paquete, and T. Stützle (2002).   A comparison of the performance of different metaheuristics on the timetabling problem.   Technical Report IDSIA-18-02.   IDSIA, Lugano, Switzerland

[R023] C. Piscopo and M. Birattari (2002).   Invention vs. Discovery. A Critical Discussion.   Technical Report TR/IRIDIA/2002-13.   IRIDIA, Université Libre de Bruxelles, Belgium

[R022] C. Piscopo and M. Birattari (2002).   Probability theory and intrinsically non-stochastic phenomena in AI: How to reject a metaphysical issue.   Technical Report AIDA-02-04.   Intellektik, Technische Universität Darmstadt, Darmstadt, Germany

[R021] M. Birattari, T. Stützle, L. Paquete, and K. Varrentrapp (2002).   A Racing Algorithm for Configuring Metaheuristics.   Technical Report AIDA-02-01.   Intellektik, Technische Universität Darmstadt, Darmstadt, Germany

[R020] M. Dorigo, M. Zlochin, N. Meuleau, and M. Birattari (2001).   Updating ACO pheromones using Stochastic Gradient Ascent and Cross-Entropy methods.   Technical Report TR/IRIDIA/2001-19.   IRIDIA, Université Libre de Bruxelles, Belgium

[R019] M. Zlochin, M. Birattari, N. Meuleau, and M. Dorigo (2001).   Model-based Search for Combinatorial Optimization.   Technical Report TR/IRIDIA/2001-15.   IRIDIA, Université Libre de Bruxelles, Belgium

[R018] M. Birattari, L. Paquete, T. Stützle, and K. Varrentrapp (2001).   Classification of Metaheuristics and Design of Experiments for the Analysis of Components.   Technical Report AIDA-01-05.   Intellektik, Technische Universität Darmstadt, Darmstadt, Germany

[R017] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2001).   Data-driven techniques for direct adaptive control: The lazy and the fuzzy approaches.   Technical Report TR/IRIDIA/2001-04.   IRIDIA, Université Libre de Bruxelles, Belgium

[R016] C. Piscopo, M. Birattari, and A. Saffiotti (2001).   Some philosophical issues about the treatment of uncertainty in artificial intelligence.   Technical Report No. 3  in  Studies from the Department of Technology at Örebro University, ISSN 1404-7225.   Örebro University, Örebro, Sweden

[R015] M. Birattari, G. Di Caro, and M. Dorigo (2000).   For a formal foundation of the Ant Programming approach to combinatorial optimization. Part 1: The problem, the representation, and the general solution strategy.   Technical Report TR-H-301.   ATR Human Information Processing Research Laboratories, Kyoto, Japan

[R014] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Data-Driven Techniques for Divide-and-Conquer Adaptive Control.   Technical Report TR/IRIDIA/2000-25.   IRIDIA, Université Libre de Bruxelles, Belgium

[R013] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Multiple models for adaptive control: The lazy and the fuzzy Approach.   Technical Report TR/IRIDIA/2000-23.   IRIDIA, Université Libre de Bruxelles, Belgium

[R012] G. Bontempi, E. Bertolissi, and M. Birattari (2000).   Predicting stock markets in boundary conditions with local models.   Technical Report TR/IRIDIA/2000-22.   IRIDIA, Université Libre de Bruxelles, Belgium

[R011] G. Bontempi, M. Birattari, and H. Bersini (2000).   A model selection approach for local learning.   Technical Report TR/IRIDIA/2000-16.   IRIDIA, Université Libre de Bruxelles, Belgium

[R010] E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini (2000).   Lazy learning vs. fuzzy systems: Two multiple-model approaches for adaptive control.   Technical Report TR/IRIDIA/2000-03.   IRIDIA, Université Libre de Bruxelles, Belgium

[R009] M. Birattari (1999).   First Project: IRIDIA and FaFer.   Technical Report TR/IRIDIA/1999-13.   IRIDIA, Université Libre de Bruxelles, Belgium

[R008] G. Bontempi and M. Birattari (1999).   A bound on the cross-validation estimate for algorithm assessment.   Technical Report TR/IRIDIA/1999-10.   IRIDIA, Université Libre de Bruxelles, Belgium

[R007] G. Bontempi and M. Birattari (1999).   Toolbox for Neuro-Fuzzy Identification and Data Analysis, for use with Matlab.   Technical Report TR/IRIDIA/1999-09.   IRIDIA, Université Libre de Bruxelles, Belgium

[R006] M. Birattari and G. Bontempi (1999).   The Lazy Learning Toolbox, for use with Matlab.   Technical Report TR/IRIDIA/1999-07.   IRIDIA, Université Libre de Bruxelles, Belgium

[R005] M. Birattari and G. Bontempi (1999).   Lazy Learning Vs. Speedy Gonzales: A fast algorithm for recursive identification and recursive validation of local constant models.   Technical Report TR/IRIDIA/1999-06.   IRIDIA, Université Libre de Bruxelles, Belgium

[R004] G. Bontempi, M. Birattari, and H. Bersini (1999).   Local learning for iterated time series prediction.   Technical Report TR/IRIDIA/1999-04.   IRIDIA, Université Libre de Bruxelles, Belgium

[R003] M. Birattari, G. Bontempi, and H. Bersini (1998).   Lazy learning meets the recursive least squares algorithm.   Technical Report TR/IRIDIA/1998-02.   IRIDIA, Université Libre de Bruxelles, Belgium

[R002] G. Bontempi, M. Birattari, and H. Bersini (1997).   Lazy learning for modeling and control design.   Technical Report TR/IRIDIA/1997-16.   IRIDIA, Université Libre de Bruxelles, Belgium

[R001] H. Bersini, M. Birattari, and G. Bontempi (1997).   Adaptive memory based regression methods.   Technical Report TR/IRIDIA/1997-13.2.   IRIDIA, Université Libre de Bruxelles, Belgium