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publications by dr. ir. M.M. Drugan

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dr. ir. M.M. Drugan

• contact information
• my technical reports
• former member of group decision support systems

some publications

Drugan, M.M. & Thierens, D. (2012). Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. Journal of Heuristics, 18(5), 727-766.

Drugan, M.M. & Thierens, D. Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. In N. Krasnogor & P.L. Lanzi (Eds.), GECCO'11 (pp. 1963-1970).

Drugan, M.M. & Wiering, M.A. (2010). Feature selection for Bayesian network classifiers using the MDL-FS score. International Journal of Approximate Reasoning, 51(6), 695-717.

Drugan, M.M. & Thierens, D. (2010). Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. Evolutionary computation, 18(2), 157-198.

Drugan, M.M. & Thierens, D. (2010). Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. In R. Schaefer, C. Cotta, J. Kolodziej & G. Rudolph (Eds.), Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I (pp. 485-495). Springer.

Drugan, M.M. & Thierens, D. (2010). Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. Evolutionary Intelligence, 3(2), 79-101.

Drugan, M.M. (2006, November 27). Conditional-loglikelihood MDL and Evolutionary MCMC. UU Universiteit Utrecht. Prom./coprom.: prof. dr. ir. L.C. van der Gaag & dr. ir. D. Thierens.

Drugan, M.M. & Thierens, D. (2005). Recombinative EMCMC algorithms. In Proceedings of the International Congress on Evolutionary Computation (CEC 2005) (pp. 2024-2031). IEEE Press.

Drugan, M.M. & Gaag, L.C. van der (2004). A New MDL-based Function for Feature Selection for Bayesian Network Classifiers. In R. López de Mántaras & L. Saitta (Eds.), Proceedings of the 16th European Conference on Artificial Intelligence (pp. 999-1000). Amsterdam: IOS Press.

Drugan, M.M. & Thierens, D. (2004). Evolutionary Markov Chain Monte Carlo. In P. Liardet (Ed.), Proceedings of the Sixth International Conference on Artificial Evolution - EA 2003 (pp. 63-76). Springer.

Drugan, M.M. & Thierens, D. (2003). Evolutionary Markov chain Monte Carlo. (UU-CS 2003-047). Utrecht: Utrecht University: Information and Computing Sciences.

Jong, E.D. de, Wiering, M.A. & Drugan, M.M. (2003). Post-Processing for MCMC. (UU-CS 2003-021). Utrecht: Utrecht University: Information and Computing Sciences.

Drugan, M.M., Thierens, D. & Gaag, L.C. van der (2002). MDL-based feature selection for Bayesian network classifiers. In M. Blockeel & M. Denecker (Eds.), Proceedings of the Fourteenth Belgium-Netherlands Conference on Artificial Intelligence (pp. 99-106). Leuven, Belgium.