Chair of Computational Intelligence
Our major focus in research and teaching is on Computational Intelligence, Evolutionary Algorithms, Multi-objective Optimisation and Decision Making, Swarm Intelligence, Evolutionary Robotics and Swarm Robotics.
Computational Intelligence is an important tool for dealing with complex systems and can be used everywhere: automotive industry, medical applications, computational chemistry, geology, entrepreneurship, system design, games, biology, etc. In this area, we work on evolutionary algorithms, particle swarm optimization and their applications on multi-objective problems.
Furthermore, we investigate applications of Swarm Intelligence algorithms in swarm robotics at SwarmLab. Swarm Intelligence is a collective learning mechanism with the goal to achieve a global complex and intelligent behavior using simple rules on simple technical devices. Given the progress in the development of technical systems, Swarm Intelligence is getting more and more popular. Technical systems are getting smaller, low-cost, powerful and are distributed everywhere. Examples for such systems are sensor networks, computing resources and mobile devices such as micro-robots and smart objects to which we can apply swarm intelligence to achieve a desired behavior.