cmaes: CMA-ES wrapper in Haskell

[ algorithms, library, numerical, optimization ] [ Propose Tags ]

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.

Versions 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
Dependencies base (==4.*), mtl, process, safe (>=0.3), strict (>=0.3.2), syb [details]
License LicenseRef-OtherLicense
Author Takayuki Muranushi
Maintainer muranushi@gmail.com
Category Numerical, Optimization, Algorithms
Source repo head: git clone git://github.com/nushio3/cmaes.git
Uploaded by TakayukiMuranushi at Thu Sep 10 14:57:26 UTC 2015
Distributions NixOS:0.2.2.1
Downloads 3004 total (28 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2015-09-10 [all 1 reports]
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