Otto-von-Guericke-Universität Magdeburg

 
 
 
 
 
 
 
 

Research

Our research topics are all in the area of Computational Intelligence: 

Multi-Objective Optimization and Decision Making: For several years, we are working on evolutionary algorithms and swarm intelligence to solve various kinds of multi-objective optimization problems. Such optimization problems appear in many applications, such as in economics, mechanical engineering design or computational science. A major characteristic of such problems is that their solution is a set of trade-offs known as Pareto-optimal solutions. These solutions can be described by a domination ordering. The main research question to be answered is how to find a set of diverse Pareto-optimal solutions and how to select one of the solutions (decision making).

Our research focus in this area:

Swarm Intelligence: In this area we work on collective intelligence methods for search and exploration in unknown and dynamic environments. The research topics are:

Swarm Robotics: In this research area, we work on concepts of swarm intelligence for a large group of small and simple robots (Flying Robots) without positioning system (No GPS, No external positioning system). We have several projects in this area to analyze the stability of the flight. We mainly work on developing optimized controllers. Since the environment in which the robots are moving is very complex, it is very difficult to find an optimal controller which can fulfill a desired task. In the research in this area, we aim to let a set of autonomous robotic systems to learn and perform some given task on-line and on-board. The research topics are:

Computational Intelligence in Games: We apply the methodologies from Computational Intelligence in games. The research topics are: 

 

 

 

 

 

 

Letzte Änderung: 10.04.2017 - Contact Person: Webmaster
 
 
 
 
 
Links:

IEEE CIS Task Force on Evolutionary Multi-Objective Optimization

IEEE CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering

Organic Computing

Bilevel Optimization

International Cooperation