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 planning problems.
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.
A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
A python framework for solving the VRP and its variants with column generation.
A collection of NVIDIA cuOpt samples and other resources
Python package to read and write vehicle routing problem instances.
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
Capacitated vehicle routing problem implemented in python using DEAP package. Non dominated sorting Genetic algorithm is used to solve Multiobjective problem of minimizing Total distance travelled by all vehicles and minimizing total number of vehicles at same time.
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
Amazing Collection Vehicle Routing Problem
A Fast Iterated-Local-Search Localized Optimization algorithm for the CVRP.
Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
Capacitated Vehicle Routing Problem solved with Ant Colony Optimization
使用python调用Gurobi解决CVRP问题，包含问题描述与python调用Gurobi源代码.Use python and gurobi to slove CVRP.Welcome any questions~
A Web application for automatic smart route generation for day 23D3 -to-day garbage collection which minimizes the fuel consumption of garbage trucks by providing systematic routes on the basis of real time percentage level of garbage in the bins, capacity of trucks, road feasibility
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