Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
CEoptim: Cross-Entropy R Package for Optimization | Benham | Journal of Statistical Software
Authors: Tim Benham, Qibin Duan, Dirk P. Kroese, Benoît Liquet
Title: CEoptim: Cross-Entropy R Package for Optimization
Abstract: The cross-entropy (CE) method is a simple and versatile technique for optimization, based on Kullback-Leibler (or cross-entropy) minimization. The method can be applied to a wide range of optimization tasks, including continuous, discrete, mixed and constrained optimization problems. The new package CEoptim provides the R implementation of the CE method for optimization. We describe the general CE methodology for optimization and well as some useful modifications. The usage and efficacy of CEoptim is demonstrated through a variety of optimization examples, including model fitting, combinatorial optimization, and maximum likelihood estimation.

Page views:: 852. Submitted: 2015-02-27. Published: 2017-02-20.
Paper: CEoptim: Cross-Entropy R Package for Optimization     Download PDF (Downloads: 569)
Supplements:
CEoptim_1.2.tar.gz: R source package Download (Downloads: 30; 19KB)
v76i08.R: R replication code Download (Downloads: 28; 18KB)

DOI: 10.18637/jss.v076.i08

by
This work is licensed under the licenses
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.