ecr: Evolutionary Computing in R

Provides a powerful framework for evolutionary computing in R. The user can easily construct powerful evolutionary algorithms for tackling both single- and multi-objective problems by plugging in different predefined evolutionary building blocks, e. g., operators for mutation, recombination and selection with just a few lines of code. Your problem cannot be easily solved with a standard EA which works on real-valued vectors, permutations or binary strings? No problem, 'ecr' has been developed with that in mind. Extending the framework with own operators is also possible. Additionally there are various comfort functions, like monitoring, logging and more.

Version: 1.0.1
Depends: ParamHelpers (≥ 1.8), BBmisc (≥ 1.6), smoof (≥ 1.4), ggplot2 (≥ 1.0.0)
Imports: checkmate (≥ 1.1), parallelMap (≥ 1.1), reshape2 (≥ 1.4.1), gridExtra (≥ 0.9.1)
Suggests: testthat (≥ 0.9.1)
Published: 2016-09-10
Author: Jakob Bossek [aut, cre], Dirk Surmann [ctb]
Maintainer: Jakob Bossek <j.bossek at gmail.com>
BugReports: https://github.com/jakobbossek/ecr/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/jakobbossek/ecr
NeedsCompilation: yes
Materials: NEWS
CRAN checks: ecr results

Downloads:

Reference manual: ecr.pdf
Package source: ecr_1.0.1.tar.gz
Windows binaries: r-devel: ecr_1.0.1.zip, r-release: ecr_1.0.1.zip, r-oldrel: ecr_1.0.1.zip
OS X Mavericks binaries: r-release: ecr_1.0.1.tgz, r-oldrel: ecr_1.0.1.tgz
Old sources: ecr archive

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