A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Updated
Jun 12, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
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
Optimized Routing for Electric Delivery Vehicles
A Vehicle Routing Problem solver
Vehicle Routing Open-source Optimization Machine
Final Degree Project: Optimization of Truck Logistics Web Service in collaboration with Monentia & University of Las Palmas de Gran Canaria.
Pre-built decision models serving as the base for Marketplace subscription apps.
Project for Operational Reserach class, at ECE AUTH
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.
Solving VRPTW with metaheuristics
Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data
This repo contains an R-package used to handle model building and api requests to the Icepack API. The package is predominantly written in c++ and uses sf to handle geometries.
Implementation of dynamic vehicle routing (DVR) algorithms in a truely distributed fashion based on ROS 2.
ROS package mirror of Google OR-Tools
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
The cMIBACO implementation for lightly robust solutions in MOGenConVRP under uncertainty.
Optimize specific transports (single depot location, customer locations with pickups and deliveries) and displays the optimal routes for each of your vehicles on the map.
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