soma: General-Purpose Optimisation with the Self-Organising Migrating Algorithm

An R implementation of the Self-Organising Migrating Algorithm, a general-purpose, stochastic optimisation algorithm. The approach is similar to that of genetic algorithms, although it is based on the idea of a series of “migrations” by a fixed set of individuals, rather than the development of successive generations. It can be applied to any cost-minimisation problem with a bounded parameter space, and is robust to local minima.

Version:	1.2.0
Depends:	R (≥ 2.5.0)
Imports:	reportr (≥ 1.3.0)
Suggests:	tinytest, covr, shades
Published:	2022-05-02
DOI:	10.32614/CRAN.package.soma
Author:	Jon Clayden
Maintainer:	Jon Clayden <code at clayden.org>
License:	GPL-2
URL:	https://github.com/jonclayden/soma/
NeedsCompilation:	no
Materials:	README, NEWS
In views:	Optimization
CRAN checks:	soma results

Documentation:

Reference manual:

soma.html , soma.pdf

Downloads:

Package source:	soma_1.2.0.tar.gz
Windows binaries:	r-devel: soma_1.2.0.zip, r-release: soma_1.2.0.zip, r-oldrel: soma_1.2.0.zip
macOS binaries:	r-release (arm64): soma_1.2.0.tgz, r-oldrel (arm64): soma_1.2.0.tgz, r-release (x86_64): soma_1.2.0.tgz, r-oldrel (x86_64): soma_1.2.0.tgz
Old sources:	soma archive

Reverse dependencies:

Reverse imports:	calibrar
Reverse suggests:	MSCMT

Linking:

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