DifferentialEvolution: Global optimization using Differential Evolution
Plain Differential Evolution algorithm for optimizing real-valued functions. For further info, see Differential evolution: a practical approach to global optimization By Kenneth V. Price, Rainer M. Storn, and Jouni A. Lampinen.
This Library is optimized and should achieve runtimes with factor of 2 from c. For optimal performance, pay some attention to rts memory parameters.
Example in GHCi:
import Data.Vector.Unboxed as VUB import Numeric.Optimization.Algorithms.DifferentialEvolution let fitness = VUB.sum . VUB.map (*2) de (defaultParams fitness ((VUB.replicate 60 0), (VUB.replicate 60 0)))
Versions | 0.0.1, 0.0.2 |
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Dependencies | base (==4.*), deepseq (>=1.1 && <2), fclabels (==0.11.*), mtl (>2 && <=3), mwc-random (==0.8.*), parallel (>=3.1 && <4), primitive (>=0.3.1 && <4), vector (==0.7.*) [details] |
License | MIT |
Author | Ville Tirronen |
Maintainer | ville.tirronen@jyu.fi |
Category | Numerical, Optimization, Algorithms |
Home page | http://yousource.it.jyu.fi/optimization-with-haskell |
Uploaded | by VilleTirronen at Fri Mar 11 11:59:14 UTC 2011 |
Distributions | NixOS:0.0.2 |
Downloads | 1115 total (8 in the last 30 days) |
Rating | (no votes yet) [estimated by rule of succession] |
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Status | Docs not available [build log] All reported builds failed as of 2016-10-25 [all 15 reports] Hackage Matrix CI |
Modules
- Numeric
- Optimization
- Algorithms
- Numeric.Optimization.Algorithms.DifferentialEvolution
- Algorithms
- Optimization
Downloads
- DifferentialEvolution-0.0.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)