A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems J Ceberio, E Irurozki, A Mendiburu, JA Lozano
Progress in Artificial Intelligence 1, 103-117, 2012
152 2012 A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem J Ceberio, E Irurozki, A Mendiburu, JA Lozano
IEEE Transactions on Evolutionary Computation 18 (2), 286-300, 2013
146 2013 PerMallows: An R package for Mallows and generalized Mallows models E Irurozki, B Calvo, JA Lozano
Journal of Statistical Software 71 (12), 1-30, 2019
73 * 2019 Sampling and learning the Mallows and Generalized Mallows models under the Cayley distance E Irurozki, B Calvo Molinos, JA Lozano Alonso
Methodology and Computing in Applied Probability (DOI: 10.1007/s11009-016 …, 2016
45 2016 A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms J Ceberio, E Irurozki, A Mendiburu, JA Lozano
Computational Optimization and Applications 62 (2), 545-564, 2015
35 2015 What are the best systems? new perspectives on nlp benchmarking P Colombo, N Noiry, E Irurozki, S Clémençon
Advances in Neural Information Processing Systems 35, 26915-26932, 2022
34 2022 Mallows and Generalized Mallows Model for Matchings E Irurozki, B Calvo Molinos, JA Lozano Alonso
Bernoulli, 2019
33 * 2019 Sampling and learning distance-based probability models for permutation spaces E Irurozki
Universidad del País Vasco-Euskal Herriko Unibertsitatea, 2014
28 2014 Extending distance-based ranking models in estimation of distribution algorithms J Ceberio, E Irurozki, A Mendiburu, JA Lozano
2014 IEEE Congress on Evolutionary Computation (CEC), 2459-2466, 2014
25 2014 Concentric mixtures of Mallows models for top- F Collas, E Irurozki
International Conference on Machine Learning, 2079-2088, 2021
17 2021 Kernels of mallows models under the hamming distance for solving the quadratic assignment problem E Arza, A Perez, E Irurozki, J Ceberio
Swarm and Evolutionary Computation 59, 100740, 2020
17 2020 Statistical depth functions for ranking distributions: definitions, statistical learning and applications M Goibert, S Clémençon, E Irurozki, P Mozharovskyi
arXiv preprint arXiv:2201.08105, 2022
10 2022 Unbalanced mallows models for optimizing expensive black-box permutation problems E Irurozki, M López-Ibáñez
Proceedings of the genetic and evolutionary computation conference, 225-233, 2021
10 2021 Learning probability distributions over permutations by means of Fourier coefficients E Irurozki, B Calvo, JA Lozano
Advances in Artificial Intelligence: 24th Canadian Conference on Artificial …, 2011
9 2011 A preprocessing procedure for haplotype inference by pure parsimony E Irurozki, B Calvo, JA Lozano
IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (5 …, 2010
9 2010 The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ...
Artificial Intelligence 319, 103918, 2023
8 2023 Probabilistic modeling on rankings JA Lozano, E Irurozki
Asian Conference on Machine Learning, 4-6, 2012
7 2012 Algorithm 989: perm_mateda: a matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems E Irurozki, J Ceberio, J Santamaria, R Santana, A Mendiburu
ACM Transactions on Mathematical Software (TOMS) 44 (4), 1-13, 2018
6 2018 Mallows model under the ulam distance: a feasible combinatorial approach E Irurozki, J Ceberio, B Calvo, JA Lozano
Workshop Book 2014 NIPS Conference, Montreal, Quebec, Canada, 2014
6 2014 Comparing two samples through stochastic dominance: a graphical approach E Arza, J Ceberio, E Irurozki, A Pérez
Journal of Computational and Graphical Statistics 32 (2), 551-566, 2023
5 2023 
Jose A. LozanoBasque Center for Applied Mathematics (BCAM), University of the Basque Country UPV/EHUZweryfikowany adres z ehu.eus
