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wip/py-ecspy,
Framework for creating evolutionary computations in Python
Branch: CURRENT,
Version: 1.1,
Package name: py27-ecspy-1.1,
Maintainer: jihbed.researchECsPy (Evolutionary Computations in Python) is a free, open source framework
for creating evolutionary computations in Python. Additionally, ECsPy provides
an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES),
estimation of distribution algorithm (EDA), differential evolution algorithm
(DEA), and particle swarm optimizer (PSO) for users who don't need much
customization.
As of April 3, 2012, ECsPy has been deprecated. New users should instead use
the inspyred library. ECsPy will no longer be maintained.
Required to run:[
graphics/py-matplotlib] [
devel/py-setuptools] [
math/py-numpy] [
wip/py-pp]
Required to build:[
pkgtools/cwrappers]
Master sites:
RMD160: b92161805a5e2e604721818b9bafcd38c1cd1cd1
Filesize: 168.989 KB
Version history: (Expand)
- (2024-09-19) Package has been reborn
- (2024-09-15) Package deleted from pkgsrc
- (2023-02-13) Package has been reborn
- (2020-09-29) Package has been reborn
- (2020-09-29) Package deleted from pkgsrc
- (2020-01-02) Package has been reborn
CVS history: (Expand)
2014-01-12 10:45:47 by Thomas Klausner | Files touched by this commit (3) |
Log message:
PYTHON_VERSIONS_INCOMPATIBLE cleanup.
|
2012-10-16 12:57:19 by Kamel Derouiche | Files touched by this commit (2) |
Log message:
UPDATE VERSION
NOT SUPPORTED PYTHON-3X
|
2012-10-07 13:54:18 by Aleksej Saushev | Files touched by this commit (46) |
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
|
2012-01-24 22:24:37 by Kamel Derouiche | Files touched by this commit (4) | |
Log message:
Import py27-ecspy-1.0 as wip/py-ecspy.
ECsPy (Evolutionary Computations in Python) is a free, open source framework
for creating evolutionary computations in Python. Additionally, ECsPy provides
an easy-to-use canonical genetic algorithm (GA), evolution strategy (ES),
estimation of distribution algorithm (EDA), differential evolution algorithm
(DEA), and particle swarm optimizer (PSO) for users who don't need much
customization
|