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Mateda3 version updated for Matlab2020 and adding new functionalities

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Matlab toolbox for Estimation of Distribution Algorithms (MATEDA-3.0)

For a preliminary explanation of Mateda see the file Mateda2.0-UserGuide.pdf in this directory.

Documentation

General documentation about the programs is available in the /doc directory or from: [ http://www.sc.ehu.es/ccwbayes/members/rsantana/software/matlab/MATEDA.html ]

MATEDA3.0 employs the Matlab Bayes Net (BNT) toolbox (Murphy:2001) and the pmtk3-master library ([ https://github.com/probml/pmtk3 ]) which have been included within the Mateda3 repository

Installation

  1. Edit file InitEnvironment.m updating the path path_MATEDA

  2. Set the current Matlab directory to the MATEDA3 directory.

  3. Execute program InitEnvironments.m.

The folder ScriptsMateda contains several examples of EDAs implementations. The file Mateda2.0-UserGuide.pdf contains a detailed explanation of how to use the programs.

Citations

Santana, Roberto, Concha Bielza, Pedro Larranaga, Jose A. Lozano, Carlos Echegoyen, Alexander Mendiburu, Rubén Armananzas, and Siddartha Shakya. "Mateda-2.0: Estimation of distribution algorithms in MATLAB." Journal of Statistical Software 35, no. 7 (2010): 1-30.

Irurozki E, Ceberio J, Santamaria J, Santana R, Mendiburu A. Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Transactions on Mathematical Software (TOMS). 2018 Jul 26;44(4):1-3.

Last version 12/22/2020. Roberto Santana (roberto.santana@ehu.es)