Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms
This paper describes <b>Mateda-2.0</b>, a <b>MATLAB</b> package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilist...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2010-10-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | http://www.jstatsoft.org/v35/i07/paper |
| _version_ | 1818497798564216832 |
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| author | Roberto Santana Concha Bielza Pedro Larrañaga Jose A. Lozano Carlos Echegoyen Alexander Mendiburu Rubén Armañanzas Siddartha Shakya |
| author_facet | Roberto Santana Concha Bielza Pedro Larrañaga Jose A. Lozano Carlos Echegoyen Alexander Mendiburu Rubén Armañanzas Siddartha Shakya |
| author_sort | Roberto Santana |
| collection | DOAJ |
| description | This paper describes <b>Mateda-2.0</b>, a <b>MATLAB</b> package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. <b>Mateda-2.0</b> also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs. |
| first_indexed | 2024-12-10T18:49:51Z |
| format | Article |
| id | doaj.art-1aa0df813cc64166a9889273391248c8 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-10T18:49:51Z |
| publishDate | 2010-10-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-1aa0df813cc64166a9889273391248c82022-12-22T01:37:21ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602010-10-013507Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution AlgorithmsRoberto SantanaConcha BielzaPedro LarrañagaJose A. LozanoCarlos EchegoyenAlexander MendiburuRubén ArmañanzasSiddartha ShakyaThis paper describes <b>Mateda-2.0</b>, a <b>MATLAB</b> package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. <b>Mateda-2.0</b> also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.http://www.jstatsoft.org/v35/i07/paperestimation of distribution algorithmsprobabilistic modelsstatistical learningoptimization<b>MATLAB</b> |
| spellingShingle | Roberto Santana Concha Bielza Pedro Larrañaga Jose A. Lozano Carlos Echegoyen Alexander Mendiburu Rubén Armañanzas Siddartha Shakya Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms Journal of Statistical Software estimation of distribution algorithms probabilistic models statistical learning optimization <b>MATLAB</b> |
| title | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms |
| title_full | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms |
| title_fullStr | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms |
| title_full_unstemmed | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms |
| title_short | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms |
| title_sort | mateda 2 0 a matlab package for the implementation and analysis of estimation of distribution algorithms |
| topic | estimation of distribution algorithms probabilistic models statistical learning optimization <b>MATLAB</b> |
| url | http://www.jstatsoft.org/v35/i07/paper |
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