Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms

Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms” by R. Santana, C. Bielza, P. Larrañaga, J. A. Lozano, C. Echegoyen, A. Mendiburu, R. Armañanzas, and S. Shakya. Journal of Statistical Software, vol. 35, no. 7, 2010, pp. 1-30, American Statistical Association.

Abstract

This paper describes Mateda-2.0, a MATLAB 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. Mateda-2.0 also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.

BibTeX entry:

@article{Santana_et_al:2009h,
   author = {R. Santana and C. Bielza and P. Larra{\~n}aga and J. A.
	Lozano and C. Echegoyen and A. Mendiburu and R. Arma{\~n}anzas and
	S. Shakya},
   title = {{Mateda-2.0}: A {MATLAB} package for the implementation and
	analysis of estimation of distribution algorithms},
   journal = {Journal of Statistical Software},
   volume = {35},
   number = {7},
   pages = {1-30},
   publisher = {American Statistical Association},
   year = {2010},
   url = {http://www.jstatsoft.org/v35/i07}
}

(This webpage was created with bibtex2web.)

Back to Roberto Santana publications.