Project Overview
Project title:Modeling and Engineering of Self-Organizing Networks
Project acronym:MESON

The MESON project builds on the results from the DEMESOS project and aims at integrating promising methods such as genetic algorithms with neural networks for the design of self-organizing systems. Consecutively, an optimization tool based on an evolutionary algorithm applied to simulation-based validation will be provided. Furthermore, we will elaborate case studies showing how the approach can be applied in different domains. The project tackles the areas of complex systems, bio-inspired systems, software engineering and robotics.

This project is funded by the European Regional Development Fund and the Carinthian Economic Promotion Fund (KWF) under grant KWF 20214|21532|32604 within the Lakeside Labs activity.

Info about MESON at Lakeside Labs webpage