R package GenSA: R functions for Generalized Simulated Annealing. This package searches for global minimum of a very complex non-linear objective function with a very large number of optima.
Keywords for this software
References in zbMATH (referenced in 12 articles )
Showing results 1 to 12 of 12.
- Benelmadani, D.; Benhenni, K.; Louhichi, Sana: Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors (2020)
- Polyak, B. T.; Fatkhullin, I. F.: Use of projective coordinate descent in the Fekete problem (2020)
- de Castro, Luciano; Galvao, Antonio F.; Kaplan, David M.; Liu, Xin: Smoothed GMM for quantile models (2019)
- Dufour, Jean-Marie; Neves, Julien: Finite-sample inference and nonstandard asymptotics with Monte Carlo tests and \textsfR (2019)
- Salter, James M.; Williamson, Daniel B.; Scinocca, John; Kharin, Viatcheslav: Uncertainty quantification for computer models with spatial output using calibration-optimal bases (2019)
- Howard, James P. II: Computational methods for numerical analysis with R (2017)
- Won, Joong-Ho; Wu, Xiao; Lee, Sang Han; Lu, Ying: Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers (2017)
- Christoph Bergmeir and Daniel Molina and José Benítez: Memetic Algorithms with Local Search Chains in R: The Rmalschains Package (2016) not zbMATH
- Oelker, Margret-Ruth; Pößnecker, Wolfgang; Tutz, Gerhard: Selection and fusion of categorical predictors with (L_0)-type penalties (2015)
- Buslig, Léticia; Baccou, Jean; Picheny, Victor: Construction and efficient implementation of adaptive objective-based designs of experiments (2014)
- Katharine Mullen: Continuous Global Optimization in R (2014) not zbMATH
- Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)