SPOT

Sequential Parameter Optimization Toolbox

A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.

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Description file content

Package
SPOT
License
GPL (>= 2)
Title
Sequential Parameter Optimization Toolbox
Type
Package
LazyLoad
yes
LazyData
true
Description
A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Version
2.0.3
Date
2018-05-14
Depends
R (>= 3.0.0)
Imports
randomForest, stats, utils, graphics, grDevices, MASS, DEoptim, rgenoud, plotly, rsm, nloptr
RoxygenNote
6.0.1
Suggests
testthat
NeedsCompilation
no
Packaged
2018-05-14 14:00:06 UTC; Martin
Author
Thomas Bartz-Beielstein [aut], Joerg Stork [aut], Martin Zaefferer [aut, cre], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Joerg Ziegenhirt [ctb], Wolfgang Konen [ctb], Oliver Flasch [ctb], Patrick Koch [ctb], Martina Friese [ctb], Lorenzo Gentile [ctb], Frederik Rehbach [ctb]
Maintainer
Martin Zaefferer
Repository
CRAN
Date/Publication
2018-05-14 14:26:46 UTC

install.packages('SPOT')

2.0.3

6 months ago

Martin Zaefferer

GPL (>= 2)

Depends on

R (>= 3.0.0)

Imports

randomForest, stats, utils, graphics, grDevices, MASS, DEoptim, rgenoud, plotly, rsm, nloptr

Suggests

testthat

Discussions