A Python-embedded modeling language for convex optimization problems.

ORLM: Training Large Language Models for Optimization Modeling

A powerful Python library for operations research and optimization.

Optimization Models and Algorithms

A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

Stay current on high-quality work at the Operations Research × AI intersection. A research agent performs deep, multi-pass analysis of each paper, scores relevance, and curates what matters, helping you spot trends and gaps faster.

LunaModel: Fast, symbolic modeling for optimization. Build, translate, and transform optimization models.

CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling

A Python DSL for easily formulating and solving non-convex optimization problems.

Solutions to "Optimization Modelling: A Practical Approach" by Ruhul Amin Sarker & Charles S. Newton

Atmos is a Python + FastAPI project that simulates and optimizes air quality sensor placement across the city. The system combines real-time WAQI data, traffic-weighted zone analysis, and optimization algorithms to propose an efficient sensor network that is cheaper and more effective than the existing CAAQMS stations.

Multi-Objective Optimization framework for Critical Healthcare Infrastructure. Built with Pyomo & MILP, this engine orchestrates emergency power distribution during catastrophic blackouts, solving ethical trade-offs between survival utility and equitable care.

pyopl is a Python library for parsing and solving OPL-like mathematical programming models using Gurobi or Scipy (Highs). It supports a subset of Optimisation Programming Language (OPL) syntax for linear and mixed-integer programming.

Long-term Generation Expansion Planning (GEP) for a 20-year horizon: Evaluating optimal energy mix (Gas, Coal, Nuclear, Solar, Wind) using economic optimization and cost-minimization models.

Python and MATLAB mathematical-modeling solution for UAV smoke deployment optimization and visualization.

This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

Rhetor is an Integrated Modelling Environment for modelling and solving mixed-integer linear programming problems. Rhetor supports a subset of the Optimisation Programming Language (OPL) syntax and compiles to Gurobi or Scipy (Highs). Rhetor integrates GenAI features to support and automate the modelling process.

Linear programming model in GAMS for optimizing a multi-plant electric scooter supply chain under tariffs, supplier constraints, service levels, and CO₂ emission limits.