#算法刷题#jsprit is a java based, open source toolkit for solving rich vehicle routing problems
Vehicle Routing Open-source Optimization Machine
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 Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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.
Environments for OR and RL Research
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
NVIDIA cuOpt examples for decision optimization
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
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
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)
[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.
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.