Pyomo respository provides a comprehensive library of solved models in Supply chain management

R package to model Mixed Integer Linear Programs

Tools for building power systems optimization problems

GLPK for browser & node

Python API for AMPL

StrainDesign is a python package for the computational design of metabolic networks and based on COBRApy

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by the quantity to be accepted added to the other ranges and their respective products plus the no-load cost.

Data-driven decision making under uncertainty using matrices

Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python

RWTH Bachelor’s thesis: Optimization algorithm that balances the residual load in microgrids with heat pumps and combined heat / power units, while maintaining data privacy and economical fairness.

An energy system optimization model that is flexible, computationally efficient, and academically robust.

An easy-to-use, general and open-source tool to search for guess-and-determine attacks and key bridges

The Mathematical Optimization Framework

An open-source flexibility quantification model using Python

Data-Driven Mathematical Optimization with AMPL in Python

High level abstraction for Mixed Integer Nonlinear Programming (MINLP) in Java

topotherm is a pyomo-based open-source optimization model for district heating network design.

R API for AMPL

Constraint-based modeling of metabolism using Mixed Integer Optimization

Factory Planning Optimization Project (2015)