/BCompose_Mac_Version

Primary LanguageC++

How To Use

Minimum Requirements

Mac

- g++ 8.2 or Apple LLVM version 10.0.1 (clang-1001.0.46.4)
- IloCplex 12.8.0.0
- Boost libraries
- Python 2.6.6
- Mac OS (e.g., Mojave)
- Processor type x86_64

How It Works

  • BCompose is to solve pre-decomposed MILP problems. This means that the user needs to export the master and subproblem(s) following the provided guidelines.
    • This gives the user a full flexibility in decomposing the problem and exploiting its special structures.
  • The 'models' folder contains a pre-compiled example of Stochastic Network Design Problems, i.e., r05-9-0.8-16.

How To Run

  • After exporting the proper formulations for the master (MP) and subproblem (SP) into the "models/" directory, run following command: 
    python run_me.py
  • or: 
     ./main  --model_dir=? --current_dir=?

Tune

  • These options are currently unavailable.

Notice

  • This is a precompiled version of BCompose;
  • The code will require 8 cores;
  • The pre-compiled example is for Stochastic Network Design Problems;

#TBC