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Applied mathematics / Numerical analysis / Mathematics / Operations research / Genetic algorithm / Evolution strategy / Global optimization / Mutation / Mathematical optimization / Cybernetics / Evolutionary algorithms


DEoptim: An R Package for Global Optimization by Differential Evolution David Ardia Katharine M. Mullen
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Document Date: 2014-07-02 09:39:50

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File Size: 326,69 KB

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City

Ann Arbor / Berlin / Vienna / /

Company

MIT Press / Natural Artificial Systems / CAPITAL AG / /

Country

Germany / Austria / /

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Facility

University of Michigan Press / National Institute of Standards and Technology / /

IndustryTerm

printing / genetic algorithm / statistical computing / Genetic algorithms / evolutionary algorithm / evolutionary algorithms / /

Organization

National Institute of Standards and Technology / Katharine Mullen Ceramics Division / University of Michigan Press / Foundation for Statistical Computing / MIT / Universidad Nacional de Colombia / /

Person

Adam Hilger / Kenneth Price / Brian G. Peterson / Katharine M. Mullen / Rainer Storn / David Ardia / John Holland / M. Mullen Joshua Ulrich Brian / Joshua Ulrich / David Ardia Katharine / Katharine Mullen Ceramics / /

Position

interpreter / /

ProgrammingLanguage

Fortran / R / C / C++ / /

ProvinceOrState

Delaware / /

PublishedMedium

The R Journal / the Journal of Statistical Software / Journal of Statistical Software / /

Technology

classical DE algorithm / randomized algorithm / underlying algorithm / Introduction Optimization algorithms / genetic algorithm / http / Simulation / Differential Evolution algorithm / /

URL

http /

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