Course Swarm Intelligence WS 2014/2015

Exam in SS15

+++++++ Exam will be on Monday 20.07.2015 at 9 - 11  in room G29-307 +++++++

 

Exam of WS14/15

Here you can find the exam questions of this year. The grading scales can be found here

Results of the exam are already online. Here is the statistic to the exam:

 Notenverteilung-SI

Post-Exam Review:

Students can review their exams on Thursday 9th of April at 10:45 in room G29-018.

 

Description

In swarm intelligence, we deal with a group of simple and usually homogenous individuals with simple rules. The swarm can achieve a complex and intelligent behaviorthrough the local interactions between its members. This collective property can be very well used in technical systems as well as in optimization of complex problems. One advanced application of swarm intelligence is in the area of 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, analyzed 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 multi-agent systems

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

Part 3: Applications

  • Swarm localization and display
  • Swarm robotics
  • (Self-assembly swarm)

Lectures 

The lectures take place:   Mondays 15-17 in G29 – 307

Slides
Videos related to the slides

 

Recorded lectures

 

Exercises

Tutorials take place: Fridays 11-13 in G29-307

Assignments

 

Solutions to the assignments
  • Tutorial 1 (Chapter 2 - part 1) - 24.10.2014 
  • Tutorial 2 (Chapter 2 - part 2) - 07.11.2014
  • Tutorial 3 (Chapter 3 - part 1) - 14.11.2014
  • Tutorial 4 (Chapter 3 - part 2) - 21.11.2014
  • Tutorial 5 (Chapter 3 - part 3) - 28.11.2014
  • Tutorial 6 (Chapter 4) - 09.01.2015 - 23.01.2015
Videos realted to the assignments

 Literature

  • 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

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