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

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

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

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

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

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)

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

[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

Vehicle Routing Open-source Optimization Machine

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...

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.

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

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

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 Vehicle Routing Problem solver

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

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

Python package to read and write vehicle routing problem instances.

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

Environments for OR and RL Research

Solving tsp (travel sales problem) using ruin & recreate method.

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

Solving VRPTW with metaheuristics

Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) solver written in Python.

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

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

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

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

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.

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

Python package to read and write vehicle routing problem instances.

Solving tsp (travel sales problem) using ruin & recreate method.

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

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

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

A Vehicle Routing Problem solver

Solving VRPTW with metaheuristics

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

Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) solver written in Python.

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

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

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

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

[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.

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

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

[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 Vehicle Routing Problem solver

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

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

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

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

A collection of NVIDIA cuOpt samples and other resources

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.

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

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

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

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 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...

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"

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

Python package to read and write vehicle routing problem instances.

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

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

This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.

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

Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in python-gurobi API.

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

Solving VRPTW with metaheuristics

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