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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.
High Performance solving suite for the Pickup and Delivery Problem and its related extensions.
Pickup and Delivery Problem with Time Windows data from SINTEF (https://www.sintef.no/projectweb/top/pdptw/li-lim-benchmark/) with daily updates
Final Degree Project of Statistics Degree based on the Dial-a-Ride Problem (DARP).
Optimize specified transports (pickups and deliveries) and displays the optimal routes for each of your vehicles.
a single plugin for all pickup points for sylius shop
A variety of methods implemented to tackle the -- People and Parcel Share-a-Ride -- problem in Operations Research
Implementation of various intelligent agents (reactive, deliberative, centralized, auction) to solve the Pickup and Delivery Problem (PDP) using Logist Platform.
⏰ Check l'ouverture des créneaux Carrefour Drive en France
Contains the complimentary algorithms and instances for the Vehicle Routing Problem with Pickups, Deliveries, and Scheduled Linehauls
This simulator uses a proposed non-myopic cost function approximation policy to allow passengers to have synchronized transfers within a ride-pooling system.
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.
LimeApp is designed to provide users with a seamless and intuitive interface for finding and using electric scooters. The app displays available scooters on a map, provides navigation to the nearest scooter, and allows users to unlock and ride the scooters.
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
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
Mathematical Model and Dataset for a Variant of the Vehicle Routing Problem (SEPS Journal)
Implementation of online algorithms for Pickup and Delivery problems
Check l'ouverture des créneaux AuchanDrive en France
Clients for the route optimization optiflow api
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