Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
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Updated
May 25, 2024 - Python
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
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.
Clients for the route optimization optiflow api
Optimize specified transports (pickups and deliveries) and displays the optimal routes for each of your vehicles.
A collection of NVIDIA cuOpt samples and other resources
NOMAD-RPS is a dynamic ride-pooling simulator that uses a non-myopic cost function approximation policy to make sequential decisions and find the best matches between riders and vehicles in the system
This simulator uses a proposed non-myopic cost function approximation policy to allow passengers to have synchronized transfers within a ride-pooling system.
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
Pickup and Delivery Problem with Time Windows data from SINTEF (https://www.sintef.no/projectweb/top/pdptw/li-lim-benchmark/) with daily updates
a single plugin for all pickup points for sylius shop
Data repository for the paper “Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model”.
High Performance solving suite for the Pickup and Delivery Problem and its related extensions.
Implementation of online algorithms for Pickup and Delivery problems
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
Metaheuristic approach for solving pick up and delivery problem with time windows.
School project to visualize an OpenData dataset
Implementation of various intelligent agents (reactive, deliberative, centralized, auction) to solve the Pickup and Delivery Problem (PDP) using Logist Platform.
Final Degree Project of Statistics Degree based on the Dial-a-Ride Problem (DARP).
⏰ Check l'ouverture des créneaux Carrefour Drive en France
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