cmaes: CMA-ES wrapper in Haskell

[ algorithms, library, numerical, optimization ] [ Propose Tags ] [ Report a vulnerability ]

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.

Modules

[Index] [Quick Jump]

Numeric
- Optimization
  - Algorithms
    - Numeric.Optimization.Algorithms.CMAES

Downloads

cmaes-0.2.3.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

Package maintainers

DominicSteinitz, TakayukiMuranushi

For package maintainers and hackage trustees

edit package information

Candidates

0.2.3

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	7242 total (29 in the last 30 days)
Rating	(no votes yet) [estimated by Bayesian average]
Your Rating	λ λ λ
Status	Docs available [build log] Last success reported on 2020-10-10 [all 1 reports]