The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

microbats: An Implementation of Bat Algorithm in R

A nature-inspired metaheuristic algorithm based on the echolocation behavior of microbats that uses frequency tuning to optimize problems in both continuous and discrete dimensions. This R package makes it easy to implement the standard bat algorithm on any user-supplied function. The algorithm was first developed by Xin-She Yang in 2010 (<doi:10.1007/978-3-642-12538-6_6>, <doi:10.1109/CINTI.2014.7028669>).

Version: 0.1-1
Depends: R (≥ 3.2.1)
Published: 2016-02-18
DOI: 10.32614/CRAN.package.microbats
Author: Seong Hyun Hwang with contributions from Rachel Myoung Moon
Maintainer: Seong Hyun Hwang <krshh1412 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/stathwang/microbats
NeedsCompilation: no
CRAN checks: microbats results

Documentation:

Reference manual: microbats.pdf

Downloads:

Package source: microbats_0.1-1.tar.gz
Windows binaries: r-devel: microbats_0.1-1.zip, r-release: microbats_0.1-1.zip, r-oldrel: microbats_0.1-1.zip
macOS binaries: r-release (arm64): microbats_0.1-1.tgz, r-oldrel (arm64): microbats_0.1-1.tgz, r-release (x86_64): microbats_0.1-1.tgz, r-oldrel (x86_64): microbats_0.1-1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=microbats to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.