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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 |
| Reference manual: | soma.pdf |
| 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 imports: | calibrar |
| Reverse suggests: | MSCMT |
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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.