The cmaes package
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.
Properties
| Versions | 0.1.0.0, 0.1.0.1, 0.1.1, 0.2.0, 0.2.1, 0.2.1.1 |
|---|---|
| Dependencies | base (4.*), mtl, process, safe (≥0.3), strict (≥0.3.2), syb |
| License | OtherLicense |
| Author | Takayuki Muranushi |
| Maintainer | muranushi@gmail.com |
| Category | Numerical, Optimization, Algorithms |
| Source repository | git clone git://github.com/nushio3/cmaes.git |
| Upload date | Thu Feb 14 08:55:15 UTC 2013 |
| Uploaded by | TakayukiMuranushi |
| Built on | ghc-7.6 |
Modules
- Numeric
- Optimization
- Algorithms
- Optimization
Downloads
- cmaes-0.2.1.1.tar.gz (Cabal source package)
- package description (included in the package)