Researchgroups in The Netherlands

Algorithms Cluster, Leiden

The Algorithms cluster of computer science institute LIACS of Leiden University performs fundamental research on methods and techniques for algorithm design and analysis, with an emphasis on natural computing and data mining algorithms. Research in natural computing is at the core of our activities, covering theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods. The driving force behind our research is the mission to increase our understanding of natural systems as models of computation, with a focus on the development of new algorithms and applications to challenging problems.

> https://www.universiteitleiden.nl/en/science/computer-science/research

Some of our current projects, in particular, focus on the following areas:



  • Robust optimization using evolutionary algorithms

  • Multiple criteria decision support

  • Mixed-integer evolutionary strategies (MIES)

  • Cellular automata for simulation applications

  • Particle swarm algorithms

  • Multiparameter physics applications (e.g., quantum control)

  • Medical image analysis applications

  • Drug design by interactive and automatic evolution

  • Protein folding and docking applications

  • Supply chain applications

The LIACS Data Mining group is concerned with fundamental and applied research in the areas of Data Mining and Knowledge Discovery. The theoretical research focuses on finding regularities in complex data such as large graphs, streams, time-series and relational databases.

the research of applied nature is concerned with producing understandable and actionable insights from data provided by partners from the academic and commerical domain.


Typically, these application areas require the development of new mining techniques that solve the specific challenges of the data at hand. The research partners include the Leiden University Medical Center, T-Mobile, Strukton, the Netherlands Cancer Institute, to name but a few.