name: cmaes version: 0.2.2.1 synopsis: CMA-ES wrapper in Haskell description: @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: . . 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. license: OtherLicense license-file: LICENSE author: Takayuki Muranushi maintainer: muranushi@gmail.com category: Numerical, Optimization, Algorithms build-type: Simple cabal-version: >=1.8 Extra-Source-Files: LICENSE.GPL2, LICENSE.GPL3, LICENSE.MIT Data-Files: cma.py, cmaes_wrapper.py library exposed-modules: Numeric.Optimization.Algorithms.CMAES other-modules: Paths_cmaes build-depends: base ==4.* , mtl , process , safe >= 0.3 , strict >= 0.3.2 , syb Test-Suite test Main-Is: doctest.hs hs-source-dirs: test/ Type: exitcode-stdio-1.0 Build-Depends: base == 4.* , cmaes , doctest >=0.8 , doctest-prop >=0.2 , mtl , process , random , syb , vector source-repository head type: git location: git://github.com/nushio3/cmaes.git