cmaes: CMA-ES wrapper in Haskell
cmaes
is a wrapper for Covariance Matrix Adaptation Evolution
Strategy(CMA-ES), an evolutionary algorithm for difficult non-linear
non-convex optimization problems in continuous domain. To use this
package you need python2 with numpy available on your system. The
package includes cma.py
, Nikolaus Hansen's production-level CMA
library: http://www.lri.fr/~hansen/cmaes_inmatlab.html#python.
This package is an aggregate of programs. cma.py (c) Nikolaus Hansen, 2008-2012 is redistributed under GPL 2 or 3. All the other components (c) Takayuki Muranushi are licensed under MIT license. See the files LICENSE.GPL2, LICENSE.GPL3 and LICENSE.MIT for more details.
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- cmaes-0.2.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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For package maintainers and hackage trustees
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Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.1.1, 0.2.0, 0.2.1, 0.2.1.1, 0.2.2, 0.2.2.1, 0.2.3 |
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Dependencies | base (>=4 && <5), mtl, process, safe (>=0.3), strict (>=0.3.2), syb [details] |
License | LicenseRef-OtherLicense |
Author | Takayuki Muranushi |
Maintainer | Dominic Steinitz |
Category | Numerical, Optimization, Algorithms |
Source repo | head: git clone git://github.com/idontgetoutmuch/cmaes.git |
Uploaded | by DominicSteinitz at 2020-10-10T14:06:51Z |
Distributions | NixOS:0.2.3 |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 7030 total (40 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2020-10-10 [all 1 reports] |