#### Optimization of Adaptive Systems

The optimization of adaptive systems workgroup is concerned with the design and analysis of adaptive information processing systems. We are interested in systems that improve over time through learning, self-adaptation, and evolution. Our systems improve autonomously based on data, in contrast to manual instruction or programming.

Parameter tuning for a support vector machine

Currently we are working on

- fast training and model selection for support vector machines
- learning in deep networks
- development of new evolutionary search algorithms and their analysis
- open source implementation of a large number of machine learning algorithms

We offer theoretical and practical advice in machine learning and computational intelligence to other research groups and industrial partners.

### Software: Shark

We provide and maintain a fast, modular, open source C++ library for the design and optimization of adaptive systems. It provides a diverse set of machine learning algorithms as well as methods for non-linear optimization. The Shark library works under SunOS/Linux, Mac OS X, and Windows. Shark can be downloaded from shark-ml.org.