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>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
In views: Optimization
CRAN checks: soma results


Reference manual: soma.pdf


Package source: soma_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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