Research

The main research areas we actively pursue are Evolutionary Computing, Emergent Collective Intelligence, and Data Mining. Particular subjects include parameter tuning and parameter control in evolutionary algorithms, self-organization of complex systems, emergence of specialization, evolutionary robotics, streaming data mining, evolution of economic strategies, CI methods for semantic Web applications.

Our research is spread over several projects amongst which are Symbrion, NEWTIES and OANEC. For more information about the projects in which we are involved, visit the projects section.

The input and output of our work consists of several resources and publications.
If you are interested in downloading one of the tools we have developed/used in the past please visit the resources section.