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

S22 - Lesson 01 - Thu 16.02.2017 - 2:00pm-4:00pm - IRIDIA Seminars room

S22 - Lesson 02 - Thu 16.02.2017 - 4:00pm-6:00pm - IRIDIA Seminars room

S23 - Lesson 03 - Thu 23.02.2017 - 2:00pm-4:00pm - IRIDIA Seminars room

S23 - Lesson 04 - Thu 23.02.2017 - 4:00pm-6:00pm - IRIDIA Seminars room

S24 - Lesson 05 - Thu 02.03.2017 - 2:00pm-4:00pm - Room S.UB4.329A

S24 - Lesson 06 - Thu 02.03.2017 - 4:00pm-6:00pm - Room S.UB4.329A

S25 - Lesson 07 - Thu 09.03.2017 - 2:00pm-4:00pm - Room S.UB4.329A

S25 - Lesson 08 - Thu 09.03.2017 - 4:00pm-6:00pm - Room S.UB4.329A

S26 - Lesson 09 - Thu 16.03.2017 - 2:00pm-4:00pm - Room S.UB4.329A

S26 - Lesson 10 - Thu 16.03.2017 - 4:00pm-6:00pm - Room S.UB4.329A

S27 - Lesson 11 - Thu 23.03.2017 - 2:00pm-4:00pm - IRIDIA Seminars room

S27 - Lesson 12 - Thu 23.03.2017 - 4:00pm-6:00pm - IRIDIA Seminars room

S28 - Lesson 11 - Thu 30.03.2017 - 2:00pm-4:00pm - Room S.UB4.329A

S28 - Lesson 12 - Thu 30.03.2017 - 4:00pm-6:00pm - Room S.UB4.329A

s31 - Lesson 13 - Thu 20.04.2017 - 2:00pm-4:00pm - IRIDIA Seminars room

s31 - Lesson 14 - Thu 20.04.2017 - 4:00pm-6:00pm - Room S.UB4.329A

s32 - Lesson 15 - Thu 27.04.2017 - 2:00pm-4:00pm - Room S.UB4.329A

s32 - Lesson 16 - Thu 27.04.2017 - 4:00pm-6:00pm - Room S.UB4.329A

s33 - Lesson 17 - Thu 04.05.2017 - 2:00pm-4:00pm - Room S.UB4.329A

s33 - Lesson 18 - Thu 04.05.2017 - 4:00pm-6:00pm - Room S.UB4.329A

Practical lessons material

Project modalities

The second session exam will take place on Wednesday 6 of September, 2017, at the IRIDIA Lab at 09:00 am.

A list with approximated presentation times for the day of exam will be available when the date of the exam is approaching. Please let us know if you have time constraints that day so we can schedule your exam at a convenient time.

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.

The deadline for the delivery of the second session project is Friday, August 25, 2017, at 23:59.

Projects submitted after this deadline will incur a penalty of 1 point for each 12 hours delay, with a max accepted delay of 48 hours. Projects delivered after the midnight of Sunday, August 27, 2017, will not be considered and the student will therefore not be admitted to the exam.

Project description second session

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: 2017/07/14 23:49 by mdorigo