## Matlab toolbox for Estimation of Distribution Algorithms (MATEDA2.0)

The package allows the optimization of single and multi-objective problems with estimation of distribution algorithms (EDAs) based on undirected graphical models and Bayesian networks. The implementation is conceived for allowing the incorporation by the user of different combinations of selection, learning, sampling, and local search procedures. Other included methods allow the analysis of the structures learned by the probabilistic models, the visualization of particular features of these structures and the use of the probabilistic models as fitness modeling tools.

- User's guide to MATEDA
- Documentation
- Download
- Some useful bibliography (More references in CiteULike)
- Reporting bugs and comments

Back to main page