Google's Operations Research tools:
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Updated
Nov 12, 2026 - C++
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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.
kotlin java ai solver artificial-intelligence vehicle-routing-problem vrp constraint-programming constraint-solver operations-research optimization-algorithms resource-allocation cvrp planning-algorithms employee-scheduling vrptw solver-library vehicle-routing maintenance-scheduling
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
agent docker finance simulator reinforcement-learning transportation multi-agent raas inventory-management logistics operations-research rl-algorithms citi-bike multi-agent-reinforcement-learning resource-optimization maro
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
benchmark reinforcement-learning scheduling hydra attention vehicle-routing-problem tsp operations-research cvrp combinatorial-optimization attention-model neural-combinatorial-optimization electronic-design-automation pytorch-lightning torchrl tensordict
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.
awesome optimization linear-programming awesome-list operations-research mathematical-modelling convex-optimization integer-programming discrete-optimization combinatorial-optimization stochastic-optimization linear-optimization mathematical-programming integer-linear-programming mathematical-optimization
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
python cpp optimization vehicle-routing-problem vrp logistics operations-research time-windows orienteering route-optimization pickup-delivery multi-depot rich-vrp
Adaptive large neighbourhood search (and more!) in Python.
python vehicle-routing-problem vrp tsp operations-research metaheuristic adaptive-large-neighbourhood-search travelling-salesman-problem flow-shop scheduling-problem alns rcpsp cutting-stock-problem
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
kotlin java spring-boot gradle maven artificial-intelligence vehicle-routing-problem constraint-programming operations-research optimization-library resource-allocation cvrp planning-algorithms employee-scheduling vrptw quarkus job-shop-scheduling maintenance-scheduling
Pure Java LP, QP and MIP solvers plus fast linear algebra. Zero dependencies, MIT licensed. Mathematical optimization and linear algebra for the JVM.
java math optimization linear-algebra linear-programming matrix-multiplication milp linear-algebra-library operations-research solvers quadratic-programming convex-optimization sparse-matrix-library mixed-integer-programming pure-java mathematical-programming lp-solver mathematical-optimization least-squares-optimization
NVIDIA cuOpt examples for decision optimization
gpu optimization linear-programming vehicle-routing-problem operations-research optimization-algorithms combinatorial-optimization mixed-integer-programming route-optimization traveling-salesman-problem
Environments for OR and RL Research
reinforcement-learning optimization supply-chain deep-reinforcement-learning vehicle-routing-problem operations-research supply-chain-management
State-of-the-art nesting for 2D irregular strip packing
optimization computational-geometry textile cnc local-search cutting-stock operations-research packing 2d-nesting garment laser-cutting strip-packing woodwork sheet-metal material-optimization nesting-software true-shape fabric-cutting
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
kotlin java spring-boot gradle maven solver artificial-intelligence constraint-solver operations-research optimization-algorithms mathematical-optimization quarkus
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.
optimization scheduling constraint-programming operations-research job-shop flow-shop rcpsp jobshop or-tools job-shop-scheduling cp-sat fjsp flexible-job-shop cp-optimizer psplib
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