operations-research

Google's Operations Research tools:

Awesome machine learning for combinatorial optimization papers.

The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

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)

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

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

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

Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Pure Java LP, QP and MIP solvers plus fast linear algebra. Zero dependencies, MIT licensed. Mathematical optimization and linear algebra for the JVM.

NVIDIA cuOpt examples for decision optimization

Environments for OR and RL Research

State-of-the-art nesting for 2D irregular strip packing

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

ORLM: Training Large Language Models for Optimization Modeling

Operations research tools for Ruby

Python inventory optimization and simulation tools.

Solve production scheduling problems with constraint programming in Python.