Installation

The recommended way to install M⁴OPT is using pip:

$ pip install m4opt

Important

Currently only Python 3.11 is supported due to temporary issues with CPLEX versions.

Optional: Third-Party Solvers

For the largest problems, M⁴OPT requires a commercial MIP solver: IBM ILOG CPLEX Optimization Studio (just “CPLEX” for short) or Gurobi Optimizer. Both products are available for free for academic users (students, staff, and faculty at accredited educational institutions).

If you are going to use the scheduling features of M⁴OPT, then you should follow the instructions below to install CPLEX or Gurobi. If you do not intend to use the scheduling features of M⁴OPT, then you may skip this step.

• Install CPLEX
  • Academic users
  • All others
• Install Gurobi (not currently used)
  • Academic users
  • All others
• Production Deployment Notes
  • Risk Matrix
  • Deployment Notes