EDAs Based on Copulas
Platform for implementing and studying estimation of distribution algorithms (EDAs) based on copulas. This package contains various EDAs based on copulas and vines, and it also offers the possibility of creating new algorithms. EDAs are implemented using S4 classes with generic functions for its main parts: seeding, selection, learning, sampling, replacement, local optimization, termination, and reporting. The package also includes a group of well-known benchmark problems and utility functions to study the behavior of EDAs.
For a detailed introduction, please refer to the following publication:
Yasser Gonzalez-Fernandez, Marta Soto (2014). copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas. Journal of Statistical Software, 58(9), 1-34.