DEoptim: An R Package for Global Optimization by Differential Evolution

Journal of Statistical Software, Vol. 40, No. 6, pp. 1-26, April 2011

26 Pages Posted: 21 Dec 2009 Last revised: 3 Aug 2018

See all articles by Katharine Mullen

Katharine Mullen

Government of the United States of America - National Institute of Standards and Technology (NIST)

David Ardia

HEC Montreal - Department of Decision Sciences; Center for Interuniversity Research and Analysis on Organization (CIRANO)

David L. Gil

Independent

Donald Windover

Independent

James Cline

Independent

Date Written: December 21, 2009

Abstract

This article describes the R package DEoptim, which implements the Differential Evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector. The implementation of Differential Evolution in DEoptim interfaces with C code for efficiency. The utility of the package is illustrated by case studies in fitting a Parratt model for X-ray reflectometry data and a Markov-Switching Generalized AutoRegressive Conditional Heteroskedasticity model for the returns of the Swiss Market Index.

Keywords: global optimization, evolutionary algorithm, differential evolution, R software

JEL Classification: C20, C61

Suggested Citation

Mullen, Katharine and Ardia, David and Gil, David L. and Windover, Donald and Cline, James, DEoptim: An R Package for Global Optimization by Differential Evolution (December 21, 2009). Journal of Statistical Software, Vol. 40, No. 6, pp. 1-26, April 2011, Available at SSRN: https://ssrn.com/abstract=1526466

Katharine Mullen

Government of the United States of America - National Institute of Standards and Technology (NIST) ( email )

Gaithersburg, MD 20899-8910
United States

David Ardia (Contact Author)

HEC Montreal - Department of Decision Sciences ( email )

3000 Côte-Sainte-Catherine Road
Montreal, QC H2S1L4
Canada

Center for Interuniversity Research and Analysis on Organization (CIRANO)

2020 rue University, 25th floor
Montreal H3C 3J7, Quebec
Canada

David L. Gil

Independent

United States

Donald Windover

Independent

United States

James Cline

Independent

United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
804
Abstract Views
5,580
Rank
76,888
PlumX Metrics