Publicaciones en las que colabora con EKHIÑE IRUROZQUI ARRIETA (21)

2024

  1. ON THE FAIR COMPARISON OF OPTIMIZATION ALGORITHMS IN DIFFERENT MACHINES

    Annals of Applied Statistics, Vol. 18, Núm. 1, pp. 42-62

2023

  1. Comparing Two Samples Through Stochastic Dominance: A Graphical Approach

    Journal of Computational and Graphical Statistics, Vol. 32, Núm. 2, pp. 551-566

2022

  1. Implementing the cumulative difference plot in the IOHanalyzer

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

2021

  1. Rank Aggregation for Non-stationary Data Streams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. Alternative Representations for Codifying Solutions in Permutation-Based Problems

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  2. An adaptive neuroevolution-based hyperheuristic

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

  3. Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem

    Swarm and Evolutionary Computation, Vol. 59

2019

  1. Approaching the quadratic assignment problem with kernels of Mallows models under the hamming distance

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  2. Mallows and generalized Mallows model for matchings

    Bernoulli, Vol. 25, Núm. 2, pp. 1160-1188

2018

  1. Algorithm 989: Perm_mateda: A matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems

    ACM Transactions on Mathematical Software, Vol. 44, Núm. 4

  2. Estimando el tamaño de polímeros con redes neuronales

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  3. Sampling and Learning Mallows and Generalized Mallows Models Under the Cayley Distance

    Methodology and Computing in Applied Probability, Vol. 20, Núm. 1

2016

  1. PerMallows: An R package for mallows and generalized mallows models

    Journal of Statistical Software, Vol. 71

2015

  1. A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms

    Computational Optimization and Applications, Vol. 62, Núm. 2, pp. 545-564

2014

  1. A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem

    IEEE Transactions on Evolutionary Computation, Vol. 18, Núm. 2, pp. 286-300

  2. Extending distance-based ranking models in estimation of distribution algorithms

    Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  3. Sampling and learning distance-based probability models for permutation spaces

    Sampling and learning distance-based probability models for permutation spaces

2012

  1. A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems

    Progress in Artificial Intelligence, Vol. 1, Núm. 1, pp. 103-117

2011

  1. A preprocessing procedure for haplotype inference by pure parsimony

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 5, pp. 1183-1195

  2. Learning probability distributions over permutations by means of Fourier coefficients

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)