R package rgenoud: R version of GENetic Optimization Using Derivatives. A genetic algorithm plus derivative optimizer. Genoud is a function that combines evolutionary search algorithms with derivative-based (Newton or quasi-Newton) methods to solve difficult optimization problems. Genoud may also be used for optimization problems for which derivatives do not exist. Genoud , via the cluster option, supports the use of multiple computers, CPUs or cores to perform parallel computations.

References in zbMATH (referenced in 17 articles )

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  1. Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M.: Comparison of Gaussian process modeling software (2018)
  2. Thongsook, Saranya: Using the GA package in R program and desirability function to develop a multiple response optimization procedure in case of two responses (2017)
  3. Weber, Anett; Steiner, Winfried J.; Lang, Stefan: A comparison of semiparametric and heterogeneous store sales models for optimal category pricing (2017)
  4. Anita Thieler; Roland Fried; Jonathan Rathjens: RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression (2016)
  5. Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
  6. Christoph Bergmeir and Daniel Molina and José Benítez: Memetic Algorithms with Local Search Chains in R: The Rmalschains Package (2016)
  7. Marie Delignette-Muller; Christophe Dutang: fitdistrplus: An R Package for Fitting Distributions (2015)
  8. Kang, Chaeryon; Janes, Holly; Huang, Ying: Combining biomarkers to optimize patient treatment recommendations (2014)
  9. Katharine Mullen: Continuous Global Optimization in R (2014)
  10. Luca Scrucca: GA: A Package for Genetic Algorithms in R (2013)
  11. Irincheeva, Irina; Cantoni, Eva; Genton, Marc G.: Generalized linear latent variable models with flexible distribution of latent variables (2012)
  12. Olivier Roustant; David Ginsbourger; Yves Deville: DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)
  13. Subramanian, Sundarraman: Model-based likelihood ratio confidence intervals for survival functions (2012)
  14. Zhang, Baqun; Tsiatis, Anastasios A.; Laber, Eric B.; Davidian, Marie: A robust method for estimating optimal treatment regimes (2012)
  15. Alberto Abadie; Alexis Diamond; Jens Hainmueller: Synth: An R Package for Synthetic Control Methods in Comparative Case Studies (2011)
  16. Jonathan Wand; Gary King; Olivia Lau: anchors: Software for Anchoring Vignette Data (2011)
  17. Subramanian, Sundarraman; Dikta, Gerhard: Inverse censoring weighted median regression (2009)