Flowty Network Optimization Solver
Project description
Flowty
The Flowty Optimisation Solver is a column generation based solver. It is used to solve mixed integer linear programming models formulated with (resource constrained) paths in specified graphs. The solver is well suited for solving planning & scheduling, routing and multi-commodity flow problems. The solver is written in C++ with a Python interface.
Installation
System dependencies (Ubuntu/Debian):
sudo apt-get install libopenblas0 libtbb12
Then install the package:
pip install flowty
Examples
Run the multi-commodity flow (MCF) example:
python examples/mcf.py
License
The solver ships with a Community License for non-commercial use.
Please contact license@flowty.ai or visit flowty.ai for additional license options.
Contact
For inquires contact info@flowty.ai or visit flowty.ai for information.
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