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...

Python package to read and write vehicle routing problem instances.

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

Python package to read and write vehicle routing problem instances.

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...

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...

Vehicle Routing Open-source Optimization Machine

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

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

A Vehicle Routing Problem solver

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

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

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

RouteOpt

Python package to read and write vehicle routing problem instances.

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

RouteOpt

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

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

Python package to read and write vehicle routing problem instances.

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 Vehicle Routing Problem solver

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

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

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

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

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...

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

Vehicle Routing Open-source Optimization Machine

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

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

A Vehicle Routing Problem solver

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

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

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

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

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

Python package to read and write vehicle routing problem instances.

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

RouteOpt

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

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Loc...

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

A collection of NVIDIA cuOpt samples and other resources

Environments for OR and RL Research

RouteOpt

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

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

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

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

[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.

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

Python package to read and write vehicle routing problem instances.

A Vehicle Routing Problem solver

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...

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Loc...

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

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

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

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

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

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

[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

[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)

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

Vehicle Routing Open-source Optimization Machine

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

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

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

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

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

Environments for OR and RL Research

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

A collection of NVIDIA cuOpt samples and other resources

A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Python package to read and write vehicle routing problem instances.

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

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

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

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

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

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

RouteOpt

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

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

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

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.

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"

Python package to read and write vehicle routing problem instances.

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

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

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

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

Solving VRPTW with metaheuristics

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