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Artificial Immune Systems

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  • UserChristine Zarges, University of Birmingham
  • ClockWednesday 24 October 2012, 13:00-14:00
  • HouseUG09, Learning Centre.

If you have a question about this talk, please contact Christine Zarges.

Artificial immune systems (AIS) are on one hand a class of biologically inspired algorithms which are build after different theories from immunology. They are applied in different areas of application, e.g., learning, classification, anomaly detection, and optimisation. In the area of optimisation, AIS show from an algorithmic point of view on a high level similarities to other biologically inspired algorithms, e.g. evolutionary algorithms. They constitute an interesting alternative approach to current methods. On the other hand, AIS can be used as models for the immune system in the context of computational immunology.

My current research focusses on the aspect of optimisation and the theoretical analysis of common AIS . However, I am also interest in aspects of computational immunology. I will give a broad overview over different methods in the field and point out interesting current research questions.

This talk is part of the Computer Science Lunch Time Talk Series series.

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