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

Unified knowledge-driven network inference from omics data

Python API for AMPL

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

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

A pure Rust MILP solver

Solve optimization problems and build custom algorithms

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.

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

Hands-On Mathematical Optimization with AMPL in Python

An easy-to-use, general and open-source tool to solve the guess-and-determine problem

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

Data-driven decision making under uncertainty using matrices

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 open-source flexibility quantification model using Python

Vector based Energy Optimization Framework

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