Skip to content

Python tools for the Minimum-Feature-Set problem

Notifications You must be signed in to change notification settings

shannonfenn/minfs

Repository files navigation

minfs

Some simple python tools for solving the Minimum-Feature-Set problem.

Exact solvers using:

  • CPLEX (best performance)
  • localsolver (horrible performance)
  • numberjack (quite poor)
  • Googles ortools (good performance but slower than with CPLEX)

Heuristic solvers:

  • Greedy (Fast but often suboptimal)
  • Meta-RaPS (Slower but scales much better than the exact solvers and with better results than the greedy heuristic)

The Meta-RaPS heuristic reduces the problem to the equivalent Set Cover Problem and solves with this method.

About

Python tools for the Minimum-Feature-Set problem

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages