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.

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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
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)
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Status Docs available [build log]
Last success reported on 2020-10-10 [all 1 reports]