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  4. Differential Evolution with DEoptim: An application to non-convex portfolio optimization

Differential Evolution with DEoptim: An application to non-convex portfolio optimization

Author(s)
Ardia, David  
Chaire de gestion des risques financiers  
Boudt, Kris
Carl, Peter
Mullen, Katharine
Peterson, Brian
Date issued
2011
In
The R Journal
Vol
1
No
3
From page
27
To page
34
Reviewed by peer
1
Subjects
Differential optimization non-convex portfolio optimization DEoptim R software
Abstract
The R package DEoptim implements the differential evolution algorithm. This algorithm is an evolutionary technique similar to genetic algorithms that is useful for the solution of global optimization problems. In this note we provide an introduction to the package and demonstrate its utility for financial applications by solving a non-convex optimization problem.
Later version
https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Ardia~et~al.pdf
Publication type
journal article
Identifiers
https://libra.unine.ch/handle/20.500.14713/63532
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RJournal_2011-1_Ardia~et~al.pdf

Type

Main Article

Size

409 KB

Format

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