Overview Repositories Revisions Requests Users Attributes Meta

CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python

Edit Package python-cma

A stochastic numerical optimization algorithm for difficult
(non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization
problems in continuous search spaces, implemented in Python.

  • Sources inherited from project devel:languages:python:numeric
  • Devel package for openSUSE:Factory
  • 1 derived packages
  • Links to openSUSE:Factory / python-cma
  • Download package
  • osc -A https://api.opensuse.org checkout home:dgarcia:python312:numeric/python-cma && cd $_
  • Create Badge
Refresh
Refresh
Source Files
Filename Size Changed
cma-4.0.0.tar.gz 0000799410 781 KB
python-cma.changes 0000003372 3.29 KB
python-cma.spec 0000002081 2.03 KB
Revision 9 (latest revision is 15)
buildservice-autocommit accepted request 1055966 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 9) 
baserev update by copy to link target
Comments 0
openSUSE Build Service is sponsored by
Places