Awesome machine learning for combinatorial optimization papers.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Adaptive large neighbourhood search (and more!) in Python.

Environments for OR and RL Research

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Python inventory optimization and simulation tools.

A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)

Improve Warehouse Productivity using Order Batching

ORLM: Training Large Language Models for Optimization Modeling

Python package to read and write vehicle routing problem instances.

A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.

Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.

Exact solutions for two-dimensional bin packing problems by branch-and-cut

Simple framework for modeling optimization problems in Python

Repository contains implementation of Bender Decomposition for classical facility/warehause location problem using Python and Gurobi solver.

Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.