Swarm Intelligence

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This course provides in-depth knowledge about swarm intelligence in technical systems. In swarm intelligence, we deal with a group of simple and usually homogenous individuals with simple rules. Usually, swarms can achieve a complex and intelligent behaviour using local interactions between its members. This collective property can be used in technical systems.. One advanced application of swarm intelligence is in swarm robotics, in which simple small robots can collectively learn to achieve some predefined complex tasks. During this course, the algorithms of swarm intelligence are presented, analysed and compared. The following topics will be covered:

Part 1: Fundamentals of swarm intelligence

  • Swarm stability and stability analysis
  • Swarm aggregation
  • Swarm in known environments
  • Swarm in unknown environments: Particle Swarm Optimization
  • Dynamic Optimization
  • Multi-Objective Particle Swarm Optimization 

Part 2: Swarm and multiagent systems

  • Division of labour and task allocation
  • Swarm clustering and sorting
  • Ant systems and optimization

Part 3: Applications

  • Swarm localization and display
  • Swarm robotics




This lecture will take place in presence format in room G29-307. We will record the lectures and upload them online on Mediasite. 


The lecture will take place on 

20.10., 10.11., 17.11., 24.11., 01.12, 08.12., 15.12.2022 and 

05.01., 12.01., 19.01., 26.01.2023




Recorded lectures

Please refer to this link /OVGU/Fakultäten/Informatik (FIN)/Institut für Intelligente Kooperierende Systeme (IKS)/AG Computational Intelligence/Swarm Intelligence for the recorded lectures. Note: Here you must log in with your URZ account, otherwise the list of videos is empty. To log in, you have to click the button labelled "GU" and supply your URZ credentials. You may need to follow the link a second time after you completed the login procedure.

We will upload the recorded lectures after each lecture. 



Tutorials take place on Fridays 15:15 to 16:45 in Room G29-307. You have to attend the tutorials. 


To meet the large demand for the swarm intelligence course, we offer a live tutorial in the lecture hall with explanations for solving the tutorials. 

Solve the assignments yourself (This is how you can maximize your learning experience!).

  1. After solving each assignment, refer to the tutorials to check your results
  2. Ask questions that you have during the tutorials or over email.

To be able to write the exam, you must fulfil the following criterion:

  •  You have to pass a midterm exam. We will provide the details during the lectures.
  • The midterm exam will took place on 1st December!



The assignments will be published here during the semester.
The next tutorial will be on the 16.12.2022


Exams from past years



  • Veysel Gazi and Kevin M. Passino, Swarm Stability and Optimization, Springer, 2011
  • Eric Bonabeau, Marco Dorigo and Guy Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, Oxford University Press, 1999
  • Andries Engelbrecht, Fundamentals of Computational Swarm Intelligence, Wiley 2006
  • James Kennedy and Russel Eberhart, Swarm Intelligence, Morgan Kaufmann, 2001
  • Zbigniew Michalewicz and David Fogel, How to solve it: Modern Heuristics, Springer, 2001
  • Marco Dorigo and Thomas Stützle, Ant Colony Optimization, The MIT Press, 2004
  • C. Solnon: Ant Colony Optimization and Constraint Programming. Wiley 2010
  • Gerhard Weiss, Multiagent Systems: A modern approach to distributed artificial systems, The MIT Press, 2000
  • Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer, Organic Computing A Paradigm Shift for Complex Systems, Springer, 2011

Last Modification: 04.10.2023 - Contact Person: Webmaster