Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Yasser Gonzalez-Fernandez, Marta Soto
Title: copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas
Abstract: The use of copula-based models in EDAs (estimation of distribution algorithms) is currently an active area of research. In this context, the copulaedas package for R provides a platform where EDAs based on copulas can be implemented and studied. The package offers complete implementations of various EDAs based on copulas and vines, a group of well-known optimization problems, and utility functions to study the performance of the algorithms. Newly developed EDAs can be easily integrated into the package by extending an S 4 class with generic functions for their main components. This paper presents copulaedas by providing an overview of EDAs based on copulas, a description of the implementation of the package, and an illustration of its use through examples. The examples include running the EDAs defined in the package, implementing new algorithms, and performing an empirical study to compare the behavior of different algorithms on benchmark functions and a real-world problem.

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Paper: copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas     Download PDF (Downloads: 3623)
copulaedas_1.4.1.tar.gz: R source package Download (Downloads: 332; 21KB)
v58i09.R: R example code from the paper Download (Downloads: 398; 12KB)
docking.c: Supplementary C code for examples Download (Downloads: 431; 19KB) Supplementary data in text format Download (Downloads: 315; 10MB)

DOI: 10.18637/jss.v058.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.