A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Updated
Jun 1, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Vehicle Routing Open-source Optimization Machine
Optimizing vehicle routing for efficient delivery of goods to various customer locations while minimizing costs. This project implements algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) using Python and frameworks like Google OR-Tools and the nearest neighbor heuristic, with the latter being used for comparison purposes.
A collection of NVIDIA cuOpt samples and other resources
R package implementing the Clarke-Wright algorithm to find a quasi-optimal solution to the Capacitated Vehicle Routing Problem.
Optimizing Capacitated Vehicle Routing Problem through Modified Discrete Tree-Seed Algorithm with Parallel Paessens' Clarke-Wright Heuristic
A Branch-and-Cut based Pricer for the Capacitated Vehicle Routing Problem
Python package to read and write vehicle routing problem instances.
This program is a solution to the Vehicle Routing Problem for Pickup and Delivery (VRPPD) with constraint on distance travelled by each driver. It efficiently assigns loads to drivers while minimizing total distance travelled using Clark-Wright Savings algorithm
Branch-and-Cut method for solving CVRP using CVRPSEP routines and CPLEX generic callback
parMDS: Effective Parallelization of the Vehicle Routing Problem, a Research Paper.
Rajesh's tools
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