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.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Weber, Anett; Steiner, Winfried J.; Lang, Stefan: A comparison of semiparametric and heterogeneous store sales models for optimal category pricing (2017)
- Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
- Subramanian, Sundarraman: Model-based likelihood ratio confidence intervals for survival functions (2012)
- Subramanian, Sundarraman; Dikta, Gerhard: Inverse censoring weighted median regression (2009)