630 citations · 1.4k across the 9 of their papers we have counts for
10 papers
Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times
Michael Saint-Guillain, Christine Solnon, Yves Deville
Static stochastic VRPs aim at modeling real-life VRPs by considering uncertainty on data. In particular, the SS-VRPTW-CR considers stochastic customers with time windows and does n…
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with Drone
Quang Minh Ha, Yves Deville, Quang Dung Pham +1
This paper addresses the Traveling Salesman Problem with Drone (TSP-D), in which a truck and drone are used to deliver parcels to customers. The objective of this problem is to eit…
Group kernels for Gaussian process metamodels with categorical inputs
Olivier Roustant, Esperan Padonou, Yves Deville +4
Gaussian processes (GP) are widely used as a metamodel for emulating time-consuming computer codes. We focus on problems involving categorical inputs, with a potentially large numb…
The Static and Stochastic VRPTW with both random Customers and Reveal Times: algorithms and recourse strategies
Michael Saint-Guillain, Christine Solnon, Yves Deville
Unlike its deterministic counterpart, static and stochastic vehicle routing problems (SS-VRP) aim at modeling and solving real-life operational problems by considering uncertainty…
On the Min-cost Traveling Salesman Problem with Drone
Quang Minh Ha, Yves Deville, Quang Dung Pham +1
Once known to be used exclusively in military domain, unmanned aerial vehicles (drones) have stepped up to become a part of new logistic method in commercial sector called "last-mi…
On the Min-cost Traveling Salesman Problem with Drone
Quang Minh Ha, Yves Deville, Quang Dung Pham +1
Over the past few years, unmanned aerial vehicles (UAV), also known as drones, have been adopted as part of a new logistic method in the commercial sector called "last-mile deliver…