2 to 5 June 2019, Seville: Mapotempo speaking at VeRoLog, the workshop of the European working group on Vehicle Routing and Logistics Optimization
The seventh meeting of the EURO Working Group on Vehicle Routing and Logistics optimization is taking place at Fundación Cajasol, Seville (Spain), affiliated center of Pablo de Olavide University from 3 to 5 June 2019.
The VeRoLog conference is a meeting bringing together the large community of researchers and practitioners interested in vehicle routing optimization and its relationship with logistics.
The conference is open to high quality methodological contributions, relevant real-world applications, and case studies from industry and the service sector.
Gwénaël Rault, PhD student in Operational Research at Mapotempo will participate and speak during VeRoLog on June 4 from 16:40
Multiple solve approaches applied to the Heterogeneous Vehicle Routing Problem
In the context of this presentation, we focus on Asymmetric HVRP where the shortest path between two customers nodes is vehicle dependent. Moreover, the distance matrices doesn’t verify the triangular inequality. Case which is common when we consider a real road network at the fastest with the objective to minimize the total distance. The problem in itself contains a set of multiple vehicle types with a limit number on their usage, as well as a capacity limit at the parcels number they can load to deliver at the customers nodes.
At this purpose, the instances provided by C. Duhamel and al(2011) and named New real life Duhamel–Lacomme–Prodhon_HVRP instances (DLP_HVRP), based on realistic distances between french cities, are considered as the main comparison set.
The current approach use at first step a GRASP+ALNS metaheuristic, method known to provide good results in a short computation time. In a second step, a constraint programming model of the problem is used to shuffle the problem and provide an additional local search starting from the current solution. Data are exchanged iteratively in order to benefit from each solve step improvement.
The aim behind the use of multiple models is to expose the possible synergies between those methods. Multiple solve scenarios will be presented to discuss about the multiple layout available between the two previously mentioned solve steps and show their impact on the resolution.