Automation of preprocessing often requires computationally costly preprocessing combinations. This package helps to find near-best combinations faster. Metaheuristics supported are taboo search, simulated annealing, reheating and late acceptance. Start conditions include random and grid starts. End conditions include all iteration rounds completed, objective threshold reached and convergence. Metaheuristics, start and end conditions can be hybridized and hyperparameters optimized. Parallel computations are supported. The package is intended to be used with package 'preprocomb' and takes its 'GridClass' object as input.

Documentation

Manual: metaheur.pdf
Vignette: Metaheur

Maintainer: Markus Vattulainen <markus.vattulainen at gmail.com>

Author(s): Markus Vattulainen

Install package and any missing dependencies by running this line in your R console:

install.packages("metaheur")

Depends R (>= 2.10)
Imports utils, methods, stats, reshape2, ggplot2, preprocomb(>=0.3.0), doParallel, foreach
Suggests testthat, knitr, rmarkdown, rpart
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Package metaheur
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Version 0.2.0
Published 2016-06-30
License GPL-2
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NeedsCompilation no
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Package source metaheur_0.2.0.tar.gz