Description

Leader of the group Networks and Optimization: Guido Schäfer.

In today’s society, complex systems surround us. From transport and traffic, to behavioral economics and operations management, real-world applications often demand that we identify simple, optimal solutions among a huge set of possibilities. Our research group Networks and Optimization (N&O) does fundamental research to tackle such challenging optimization problems. 

We develop algorithmic methods to solve complex optimization problems efficiently. Our research provides efficient algorithms to some of the most challenging problems, for example, in planning, scheduling and routing. To come up with the best optimization algorithms, we combine and extend techniques from different disciplines in mathematics and computer science. 

N&O covers a broad spectrum of optimization aspects. Our expertise ranges from discrete to continuous optimization and applies to centralized and decentralized settings. We focus on both problem-specific methods and universal toolkits to solve different types of optimization problems. The key in our investigations is to understand and exploit combinatorial structures, such as graphs, networks, lattices and matroids. Our research is of high scientific impact and contributes to various fields.

In several cooperations with industry partners, the algorithmic techniques that we develop in our group have proven useful to solve complex real-world problems. We are always interested in new algorithmic challenges arising in real-world applications and are open to new cooperations.

 

Watch our group video to get a glimpse of our activities.

 

Video about our collaboration with ProRail (in Dutch)

 

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Vacancies

No vacancies currently.

News

Current events

Dutch Seminar on Optimization (online series)

  • 2021-01-28T16:00:00+01:00
  • 2021-01-28T17:00:00+01:00
January 28 Thursday

Start: 2021-01-28 16:00:00+01:00 End: 2021-01-28 17:00:00+01:00

 

The Dutch Seminar on Optimization is an initiative to bring together researchers from the Netherlands and beyond. The objective is to establish a new forum for the Dutch optimization community to come together, to help provide a spotlight for up and coming local talent, and to bring in high quality international speakers.

Next talk by David de Laat (TU Delft) 

For more information please visit the website.

  

NMC 2021 (Dutch Mathematical Congress)

  • 2021-01-28T16:00:00+01:00
  • 2021-01-28T17:00:00+01:00
January 28 Thursday

Start: 2021-01-28 16:00:00+01:00 End: 2021-01-28 17:00:00+01:00

The organizing committee of NMC has composed a programme containing various online activities at different times during the year: we proudly present the NMC 2021 Series! 

Opening date 28 January 2021 with the Stieltjes Prize award ceremony.

For more information and registration please visit the website.

Members

Associated Members

Publications

Current projects with external funding

  • Continuous Methods in Discrete Optimization ()
  • Wiskundecluster DIAMANT ()
  • Smart Heuristic Problem Optimization
  • Mixed-Integer Non-Linear Optimisation Applications (MINOA)
  • Optimization for and with Machine Learning (OPTIMAL)
  • Polynomial Optimization, Efficiency through Moments and Algebra (POEMA)
  • Vóórkomen en voorkómen van incidenten op het spoor (PPS Prorail)
  • Towards a Quantitative Theory of Integer Programming (QIP)

Related partners

  • Alma Mater Studiorum-Universita di Bologna
  • Alpen-Adria-Universität Klagenfurt
  • CNR Pisa
  • CNRS
  • Dassault Systèmes B.V.
  • IBM
  • INRIA
  • Prorail
  • Rheinische Friedrich-Wilhelmus Universitaet Bonn
  • Technische Universität Dortmund
  • Tilburg University
  • Tromsø, Norway
  • Universita degli Studi di Firenze
  • Universität Konstanz
  • University of Birmingham
  • Universiteit van Tilburg