activity
20162018
most citedHeuristic Rectangle Splitting: Leveraging Single-Objective Heuristics to Efficiently Solve Multi-Objective Problems

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

math.OC2018

New Exact Algorithm and Solution Properties for the Vehicle Routing Problem with Stochastic Demands

Alexandre Florio, Richard Hartl, Stefan Minner

This paper considers the vehicle routing problem with stochastic demands (VRPSD) under optimal restocking. We develop an exact algorithm that is effective for solving instances wit…

math.OC2018

Workload Equity in Vehicle Routing: The Impact of Alternative Workload Resources

Piotr Matl, Richard F. Hartl, Thibaut Vidal

In practical vehicle routing problems (VRPs), important non-monetary benefits can be achieved with more balanced operational plans which explicitly consider workload equity. This h…

cs.DS2018

The Electric Two-echelon Vehicle Routing Problem

Ulrich Breunig, Roberto Baldacci, Richard F. Hartl +1

Two-echelon distribution systems are attractive from an economical standpoint and help to keep large vehicles out of city centers. Large trucks can be used to deliver goods to inte…

cs.AI2018

Large Neighborhood-Based Metaheuristic and Branch-and-Price for the Pickup and Delivery Problem with Split Loads

Matheus Nohra Haddad, Rafael Martinelli, Thibaut Vidal +4

We consider the multi-vehicle one-to-one pickup and delivery problem with split loads, a NP-hard problem linked with a variety of applications for bulk product transportation, bike…

cs.MA2017

Collaborative vehicle routing: a survey

Margaretha Gansterer, Richard F. Hartl

In horizontal collaborations, carriers form coalitions in order to perform parts of their logistics operations jointly. By exchanging transportation requests among each other, they…

math.OC20173 cited

Heuristic Rectangle Splitting: Leveraging Single-Objective Heuristics to Efficiently Solve Multi-Objective Problems

Piotr Matl, Richard F. Hartl, Thibaut Vidal

Real-life problems are often characterized by conflicting optimization objectives. Consequently, there has been a growing interest not only in multi-objective models, but also in s…