A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Updated
Jul 3, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Capacitated Vehicle Routing Problem example on D-Wave's hybrid solvers.
Python package to read and write vehicle routing problem instances.
The Capacitated Vehicle Routing Problem (CVRP) Solutions.
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.
Optimizing Capacitated Vehicle Routing Problem through Modified Discrete Tree-Seed Algorithm with Parallel Paessens' Clarke-Wright Heuristic
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
Capacitated Vehicle Routing Problem data from CVRPLIB (http://vrp.atd-lab.inf.puc-rio.br/index.php/en/) with daily updates
A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
My final year project. Optimize the routes for courier delivery.
Penerapan Harris Hawks Optimization Pada Capacitated Vehicle Routing Problem
A python framework for solving the VRP and its variants with column generation.
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Code to optimize the route of a truck that collects weight using Google OR-Tools CVRP model and Distance Matrix API.
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