Skip to content

Version 1.0.0: The First Stable Release

Latest
Latest

Choose a tag to compare

View all tags
@simulation-optimization simulation-optimization released this 05 Oct 18:50
· 1 commit to main since this release
v1.0.0
42b1805
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

PyPRS: A Python Software Package for Parallel Ranking and Selection Procedures

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is Ray. PyPRS incorporates four well-known parallel procedures:

  • The Good Selection Procedure (GSP)
  • The Parallel Adaptive Survivor Selection (PASS) Procedure
  • The Knockout-Tournament (KT) Procedure
  • The Fixed-Budget Knockout-Tournament (FBKT) Procedure

Users can also upload custom procedures to test and compare performance against these built-in procedures.

Assets 2
Loading