Most Cited Publications

My h-index is 23 and my twenty-three most cited publications are:

[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. [561 citations]

[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. [227 citations]

[B08] M. Birattari (2009). Tuning Metaheuristics: A machine learning perspective. Springer, Berlin, Germany. [137 citations] *

[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. [127 citations]

[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. [121 citations]

[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 Verlag, Berlin, Germany. [115 citations]

[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. [97 citations]

[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 Verlag, Berlin, Germany. [77 citations]

[J15] M. Dorigo and M. Birattari (2007).   Swarm Intelligence.    Scholarpedia, vol. 2, no. 9, p. 1462. [68 citations]

[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. [64 citations]

[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. [57 citations]

[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. [52 citations]

[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. [50 citations]

[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. [46 citations]

[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. [41 citations]

[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. [39 citations]

[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. [36 citations]

[R29] 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. [28 citations]

[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. [27 citations]

[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. [27 citations]

[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. [26 citations]

[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. [26 citations]

[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. [24 citations]

Last update: December 19, 2011

* This entry counts also the number of citations to the first edition of the book: [B02] M. Birattari (2005). The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective. DISKI 292, Infix/Aka, Berlin, Germany.