Trending repositories for topic vehicle-routing-problem

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

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

A collection of NVIDIA cuOpt samples and other resources

Vehicle Routing Open-source Optimization Machine

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A collection of NVIDIA cuOpt samples and other resources

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

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

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

Vehicle Routing Open-source Optimization Machine

A collection of NVIDIA cuOpt samples and other resources

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

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

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

jsprit is a java based, open source toolkit for solving rich vehicle routing problems

Vehicle Routing Open-source Optimization Machine

A Vehicle Routing Problem solver

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

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

A collection of NVIDIA cuOpt samples and other resources

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

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

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

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A Vehicle Routing Problem solver

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

Vehicle Routing Open-source Optimization Machine

jsprit is a java based, open source toolkit for solving rich vehicle routing problems

A collection of NVIDIA cuOpt samples and other resources

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

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

Vehicle Routing Open-source Optimization Machine

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.

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

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

jsprit is a java based, open source toolkit for solving rich vehicle routing problems

A Vehicle Routing Problem solver

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

RouteOpt

Vehicle Routing Problem with Time Windows solver using Genetic Algorithm and Particle Swarm Optimization

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

Python package to read and write vehicle routing problem instances.

Environments for OR and RL Research

Solving VRPTW with metaheuristics

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

A collection of NVIDIA cuOpt samples and other resources

RouteOpt

Vehicle Routing Problem with Time Windows solver using Genetic Algorithm and Particle Swarm Optimization

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

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

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

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

Python package to read and write vehicle routing problem instances.

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

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

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

Solving VRPTW with metaheuristics

A Vehicle Routing Problem solver

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

Vehicle Routing Open-source Optimization Machine

Online algorithms for solving large-scale dynamic vehicle routing problems with stochastic requests

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

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

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

Vehicle Routing Open-source Optimization Machine

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

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

A collection of NVIDIA cuOpt samples and other resources

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

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

jsprit is a java based, open source toolkit for solving rich vehicle routing problems

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

A Vehicle Routing Problem solver

[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

Environments for OR and RL Research

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

Python package to read and write vehicle routing problem instances.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

RouteOpt

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

RouteOpt

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

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

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

A collection of NVIDIA cuOpt samples and other resources

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

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

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Vehicle Routing Problem with Time Windows solver using Genetic Algorithm and Particle Swarm Optimization

[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data

Python package to read and write vehicle routing problem instances.

Solving VRPTW with metaheuristics

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

Online algorithms for solving large-scale dynamic vehicle routing problems with stochastic requests

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

The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.