VeRoLog Webinar

VeRoLog is excited to launch its new initiative: the VeRoLog Webinar. It takes place every last Thursday of each month, from 4 p.m. to 5.30 p.m. (CET) and it will feature plenary talks, paper presentations from academia and/or industry as well as interviews with famous researchers from the VeRoLog community.

Next Webinar: May 27, 2021, 4 pm (CET)



Plenary talk: “Split-demand vehicle routing problem: state of the art
Juan José Salazar González (Universidad de La Laguna)

Abstract: The talk addresses several vehicle routing problems where customers are allowed to be visited several times to serve their demand from a fleet of vehicles. It will focus mainly on the single-vehicle one-commodity pickup-and-delivery problem which illustrates clearly the difficulties when the split-demand features must be mathematically formulated with a Mixed Integer Programming Model to be later solved with a row-generation mechanism.  We will also survey early approaches for the classical Capacitated Vehicle Routing Problem and other recent variants with additional side constraints.

Followed by an interview with
Grazia Speranza (Università degli Studi di Brescia)

ZOOM LINK: (will be available a few days before the webinar)

Upcoming Webinars

June 24, 2021, 4 pm (CET)

Research talk: TBA
Niels Agatz (Erasmus University Rotterdam)

Industry talk: TBA
Thomas Visser (ORTEC)

July 29, 2021, 4 pm (CET)

Plenary talk: TBA
Stefan Irnich (Johannes Gutenberg Universität Mainz)

Followed by an interview with
Angel Corberan (Universitat de València)

August 26, 2021, 4 pm (CET)

Research talk: TBA
Maria Battarra (University of Bath)

Research talk: TBA
Margaretha Gansterer (University of Klagenfurt)

Past Webinars

Recordings of past webinars are accessible to VeRoLog members (please log in) via this link. If you want to become a VeRoLog member, please register here.

April 29, 2021, 4 pm (CET)

Daniele Vigo (Università di Bologna) on “Integrating Machine Learning into state-of-the-art Vehicle Routing Heuristics

Abstract: The Vehicle Routing Problem (VRP) is one of the most studied combinatorial optimization problems for which hundreds of innovative heuristic and exact algorithms have been proposed in more than fifty years of research. Recently, some attempts were performed towards the integration of Machine Learning into heuristics to enhance their performance and guide their design. We report some initial efforts we performed in this direction and highlight the difficulties and promising research directions which merit further investigation.

Organizing Committee

Sophie N. Parragh (Johannes Kepler University Linz), [email protected]
Roberto Roberti (Vrije Universiteit Amsterdam), [email protected]
Marlin Ulmer (Technische Universität Braunschweig), [email protected]


Contact us if you have comments or suggestions!

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All webinars will be recorded and made available on VeRoLog’s social media channels. By participating in the respective Zoom meeting, you agree to these terms of use as well as to VeRoLog’s data privacy policy.