SCIP is currently one of the fastest non-commercial solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). It is also a framework for constraint integer programming and branch-cut-and-price. It allows for total control of the solution process and the access of detailed information down to the guts of the solver. (https://www.scipopt.org)

PySCIPOpt is a Python interface for the SCIP Optimization Suite.

1. Install Miniconda Python 3 (Python 3.8 or 3.9, 64-bit).

2. Create a Python virtual environment and install pyscipopt and scip.

   $ conda create -n scip pyscipopt -c conda-forge
   $ conda activate scip
   $ conda config --add channels conda-forge --env

   It is also possible to install soplex, zimpl, and gcg using the conda-forge channel.

1. Download SCIPOptSuite-7.0.2-win64-VS15.exe.

2. Install by double click the icon of the file.

3. Open Advanced system settings(고급 시스템 설정) in Windows 10 and click Environment variables(환경 변수) to add C:\Program Files\SCIPOptSuite 7.0.2\bin in the Path variable.

1. Requirements:

   • Miniconda Python 3 (Python 3.8 or 3.9, 64-bit)

2. Download one of the following wheels.

   • PySCIPOpt-3.1.2-cp38-cp38-win_amd64.whl (Python 3.8)
   • PySCIPOpt-3.1.2-cp39-cp39-win_amd64.whl (Python 3.9)

3. Run the following commands from the command prompt.

   > conda create -n scip python=3.8
   > conda activate scip
   > pip install PySCIPOpt-3.1.2-cp38-cp38-win_amd64.whl

1. Requirements:

   • Miniconda Python 3 (Python 3.8 or 3.9, 64-bit)
   • SCIPOptSuite-7.0.2 (see above)
   • Build Tools for Visual Studio 2019 (Visual C++ build tools only)

2. Download PySCIPOpt-3.1.2.zip (https://github.com/scipopt/PySCIPOpt/releases) and extract the file.

3. Run the following commands from the command prompt to make a wheel.

   > conda create -n scip cython pytest
   > conda activate scip
    
   > cd PySCIPOpt-3.1.2
   > set SCIPOPTDIR="C:\Program Files\SCIPOptSuite 7.0.2"
   > pip wheel .

4. Run the following commands from the command prompt to test the installation.

   > pip install .
   > pytest

Google OR-Tools is an open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming. (https://developers.google.com/optimization)

1. Install Miniconda Python 3 (Python 3.8 or 3.9, 64-bit)

2. Install or-tools by running

   $ conda activate scip
   $ conda install absl-py protobuf
   $ pip install ortools