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.

 

 

 

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News

CWI and ProRail predict railway incidents

CWI and ProRail predict railway incidents

Centrum Wiskunde & Informatica and ProRail recently started a research collaboration in the area of the handling of incidents at the Dutch railways. It concerns a public private partnership between CWI and ProRail striking up a four year period. The research is aimed at prevention and handling of a broad spectrum of railway incidents, like disturbance of the railway infrastructure, people walking on the tracks and collisions.

CWI and ProRail predict railway incidents - Read More…

Members

Associated Members

Publications

Current projects with external funding

  • Continuous Methods in Discrete Optimization
  • Networks
  • New Frontiers in Lattice Algorithms and Design
  • Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
  • Wiskundecluster DIAMANT
  • Approximation Algorithms, Quantum Information and Semidefinite Optimization (AQSO)
  • Mixed-Integer Non-Linear Optimisation Applications (MINOA)
  • Vóórkomen en voorkómen van incidenten op het spoor (PPS Prorail)
  • Quantum Software Consortium (QSC)
  • Societal Impact Games (SocialACT)

Related partners

  • Alma Mater Studiorum-Universita di Bologna
  • Alpen-Adria-Universität Klagenfurt
  • CNR Pisa
  • CNRS
  • CTVrede
  • IBM
  • Prorail
  • Rheinische Friedrich-Wilhelmus Universitaet Bonn
  • Stanford University
  • Technische Universität Dortmund
  • Tilburg University
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft
  • Universiteit Leiden
  • Universiteit van Amsterdam
  • Vrije Universiteit Amsterdam