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.

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.

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

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

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.

Rethor is an Integrated Modelling Environment that leverages pyopl, a Python library for parsing and solving OPL-like mathematical programming models using Gurobi or Scipy (Highs). pyopl supports a subset of Optimisation Programming Language (OPL) syntax for linear and mixed-integer programming.

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

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