INFO-H-414 : Swarm Intelligence

Lecturers

Objective

To let students have a basic understanding of swarm intelligence principles

Contents

Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, herds of land animals. Some human artifacts also fall into the domain of swarm intelligence, notably some multi-robot systems, and also certain computer programs that are written to tackle optimization and data analysis problems. The course will present a number of swarm intelligence systems and will give the opportunity to experiment with them.

Overheads

Schedule

S23 - Lesson 01 - Thu 18.02.2016 - 2:00pm-4:00pm - IRIDIA Seminars room

S23 - Lesson 02 - Thu 18.02.2016 - 4:00pm-6:00pm - IRIDIA Seminars room

S24 - Lesson 03 - Thu 25.02.2016 - 2:00pm-4:00pm - IRIDIA Seminars room

S24 - Lesson 04 - Thu 25.02.2016 - 4:00pm-6:00pm - IRIDIA Seminars room

S25 - Lesson 05 - Thu 03.03.2016 - 2:00pm-4:00pm - Room S.UB4.329A

S25 - Lesson 06 - Thu 03.03.2016 - 4:00pm-6:00pm - Room S.UB4.329A

S26 - Lesson 07 - Thu 10.03.2016 - 2:00pm-4:00pm - Room S.UB4.329A

S26 - Lesson 08 - Thu 10.03.2016 - 4:00pm-6:00pm - Room S.UB4.329A

S27 - Lesson 09 - Thu 17.03.2016 - 2:00pm-4:00pm - IRIDIA Seminars room

S27 - Lesson 10 - Thu 17.03.2016 - 4:00pm-6:00pm - Room S.UB4.329A

S28 - Lesson 11 - Thu 24.03.2016 - 2:00pm-4:00pm - Room S.UB4.329A

S28 - Lesson 12 - Thu 24.03.2016 - 4:00pm-6:00pm - IRIDIA Seminars room

s31 - Lesson 13 - Thu 14.04.2016 - 2:00pm-4:00pm - Room S.UB4.329A

s31 - Lesson 14 - Thu 14.04.2016 - 4:00pm-6:00pm - Room S.UB4.329A

s32 - Lesson 15 - Thu 21.04.2016 - 2:00pm-4:00pm - Room S.UB4.329A

s32 - Lesson 16 - Thu 21.04.2016 - 4:00pm-6:00pm - Room S.UB4.329A

s33 - Lesson 17 - Thu 28.04.2016 - 2:00pm-4:00pm - Room S.UB4.329A

s33 - Lesson 18 - Thu 28.04.2016 - 4:00pm-6:00pm - Room S.UB4.329A

Practical lessons material

Project modalities

The second session exam will take place: Friday 2 of September at IRIDIA Lab in the afternoon (exact time will be informed soon). The new project will be available the 15 of July in this website.

At the exam you will present the results of your project using a powerpoint-like presentation of exactly 7 minutes. Please bring your own portable computer. The rest of the exam will consist of a question answering session on all the subjects covered by the course.

Project description (second session)

Project slides

ACO project training instances

ACO project testing instances

The deadline to deliver the project is August 27, please follow the instructions provided. Please remind that there are 2 points of penalty for each day of delay in the submission of the project (this means, 2 points lost if you deliver after the deadline and until 24h delay, and so on). No exceptions.

Bibliography

  • Dorigo M. & T. Stützle (2004). Ant Colony Optimization. Cambridge, MA: MIT Press/Bradford Books
  • Bonabeau E., M. Dorigo & G. Theraulaz (1999). Swarm Intelligence: From Natural to Artificial Systems. New York, NY: Oxford University Press

Teaching methods

Ex cathedra and projects. Course taught in English.

Master thesis proposals

 
teaching/infoh414.txt · Last modified: 2016/07/15 18:32 by mdorigo