Books, Edited Books and Journal Special Issues
[B12] M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, L. M. Gambardella, R. Groß, E. Sahin, and T. Stützle (2011/2012). ANTS 2010 Special Issue, Swarm Intelligence, vol. 5, no. 3/4 and vol. 6, no. 1.
[B11] 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 (2010). Swarm Intelligence, 7th International Conference, ANTS 2010, LNCS 6234, Springer, Berlin, Germany.
[B10] T. Stützle, M. Birattari, and H. H. Hoos (2009). Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, 2nd International Workshop, SLS 2009. LNCS 5752. Springer, Berlin, Germany.
[B09] 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 (2009) GECCO 2009: Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA.
[B08] M. Birattari (2009). Tuning Metaheuristics: A machine learning perspective. SCI 197. Springer, Berlin, Germany.
[B07] M. Dorigo, M. Birattari, C. Blum, M. Clerc and T. Stützle, and A.F.T. Winfield (2008). Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008. LNCS 5217. Springer, Berlin, Germany.
[B06] T. Stützle, M. Birattari, and H. H. Hoos (2007). Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007. LNCS 4638. Springer, Berlin, Germany.
[B05] E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos (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, Brussels, Belgium.
[B04] 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 (2007). GECCO 2007: Genetic and Evolutionary Computation Conference. ACM, New York, NY, USA.
[B03] M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle (2006). Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006. LNCS 4150. Springer, Berlin, Germany.
[B02] M. Birattari (2005). The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective. DISKI 292, Infix/Aka, Berlin, Germany.
[B01] M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. Stützle (2004). Ant Colony Optimization and Swarm Intelligence, 4th International Workshop, ANTS 2004. LNCS 3172. Springer, Berlin, Germany.
Articles in Journals
[J30] 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. Decugničre, G. Di Caro, F. Ducatelle, E. Ferrante, A. Förster, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. Rčtornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard (2012). Swarmanoid: A novel concept for the study of heterogeneous robotic swarms. IEEE Robotics & Automation Magazine. In Press.
[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,
vol. 6, no. 1, pp. 49-75.
[J28] P. Pellegrini, T. Stützle, M. Birattari (2012).
A critical analysis of parameter adaptation in ant colony optimization.
Swarm Intelligence,
vol. 6, no. 1. pp. 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,
vol. 5, no. 3/4, pp. 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,
vol. 5, no. 3/4, pp. 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,
vol. 30, no. 2, pp. 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,
vol. 37, no. 11, pp. 1939-1951.
[J23] C. Piscopo and M. Birattari (2010).
A critique of the
constitutive role of truthlikeness in the similarity
approach.
Erkenntnis,
vol. 72, no. 3, pp. 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,
vol. 180, no. 12, pp. 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,
vol. 3, no. 3, pp. 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,
vol. 13, no. 5, pp. 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,
vol. 199, pp. 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,
vol. 20, no. 4, pp. 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,
vol. 18, no. 2, pp. 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,
vol. 24, no. 1, pp. 49-67.
[J15] M. Dorigo and M. Birattari (2007).
Swarm Intelligence.
Scholarpedia,
vol. 2, no. 9, p. 1462.
[J14] M. Birattari, P. Pellegrini, and M. Dorigo (2007).
On the invariance of ant colony optimization.
IEEE Transactions on Evolutionary Computation,
vol. 11, no. 6, pp. 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,
vol. 1, no. 3, pp. 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,
vol. 1, no. 4, pp. 28-39.
[J11] M. Birattari, M. Zlochin, and M. Dorigo (2006).
Towards a theory of practice in metaheuristics design:
A machine learning perspective.
Theoretical Informatics and Applications,
vol. 40, no. 2, pp. 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,
vol. 9, no. 5, pp. 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,
vol. 5, no. 1, pp. 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,
no. 4/05, pp. 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,
vol. 3, no. 1, pp. 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,
vol. 52, no. 1, pp. 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,
vol. 131, pp. 373-395.
[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.
vol. 128, no. 1, pp. 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,
vol. 121, no. 1, pp. 59-72.
[J02] G. Bontempi, M. Birattari, and H. Bersini (2000).
A model selection approach for local learning.
AI Communications,
vol. 13, no. 1, pp. 41-47.
[J01] G. Bontempi, M. Birattari, and H. Bersini (1999).
Lazy learning for local modeling and control design.
International Journal of Control,
vol. 72, no. 7/8, pp. 643-658.
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 of Conferences
[C10] C. Piscopo and M. Birattari (2012). Invention vs. Discovery. In E.G. Carayannis (Ed.) Encyclopedia of Creativity, Invention, Innovation, and Entrepreneurship. Springer, Berlin, Germany. In press.
[C09] T. Stützle, M. López-Ibańez, 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.
[C08] 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.
[C07] 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.
[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
[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. Decugničre, 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
[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. Decugničre, 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)
[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)
[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 (no formal proceedings)
[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. Paixăo 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
[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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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. Decugničre, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R095] M. López-Ibáńez, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R089] A. Brutschy, G. Pini, N. Baiboun, A. Decuničre, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R082] T. Stützle, M. López-Ibáńez, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R072] A. Decugničre, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R039] M. Birattari (2004). Notes on the Existence of the Expected Value. Technical Report TR/IRIDIA/2004-20. IRIDIA, Université Libre de Bruxelles, Brussels, 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, Brussels, Belgium.
[R037] T. H. Labella and M. Birattari (2004). Polyphemus: De Abacorum Racemo. Technical Report TR/IRIDIA/2004-15. IRIDIA, Université Libre de Bruxelles, Brussels, 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, Brussels, Belgium.
[R034] G. Bontempi and M. Birattari (2004). Sample average approximation for model selection. Technical Report 525. Département d'Informatique, Université Libre de Bruxelles, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
[R009] M. Birattari (1999). First Project: IRIDIA and FaFer. Technical Report TR/IRIDIA/1999-13. IRIDIA, Université Libre de Bruxelles, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, 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, Brussels, Belgium.
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