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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 22.02.2018 - 2:00pm-4:00pm - IRIDIA Seminars room

S24 - Lesson 02 - Thu 01.03.2018 - 2:00pm-4:00pm - IRIDIA Seminars room

S25 - Lesson 03 - Thu 08.03.2018 - 2:00pm-4:00pm - Room S.UB4.126

S25 - Lesson 04 - Thu 08.03.2018 - 4:00pm-6:00pm - Room S.UB4.126

S26 - Lesson 05 - Thu 15.03.2018 - 2:00pm-4:00pm - IRIDIA Seminars room

S26 - Lesson 06 - Thu 15.03.2018 - 4:00pm-6:00pm - Room S.UB4.126

S27 - Lesson 07 – Thu 22.03.2018 - 2:00pm-4:00pm - Room S.UB4.126

S27 - Lesson 08 – Thu 22.03.2018 - 4:00pm-6:00pm - Room S.UB4.126

S28 - Lesson 09 – Thu 29.03.2018 - 2:00pm-4:00pm - Room S.UB4.126

S28 - Lesson 10 – Thu 29.03.2018 - 4:00pm-6:00pm - IRIDIA Seminars room

S31 - Lesson 11 – Thu 19.04.2018 - 2:00pm-4:00pm - Room S.UB4.126

S31 - Lesson 12 – Thu 19.04.2018 - 4:00pm-6:00pm - Room S.UB4.126

S32 - Lesson 13 – Thu 26.04.2018 - 2:00pm-4:00pm - IRIDIA Seminars room

S32 - Lesson 14 – Thu 26.04.2018 - 4:00pm-6:00pm - Room S.UB4.126

S33 - Lesson 15 – Thu 03.05.2018 - 2:00pm-4:00pm - Room S.UB4.126

S33 - Lesson 16 – Thu 03.05.2018 - 4:00pm-6:00pm - Room S.UB4.126

S34 - Lesson 17 – Thu 17.05.2018 - 2:00pm-4:00pm - Room S.UB4.126

S34 - Lesson 18 – Thu 17.05.2018 - 4:00pm-6:00pm - Room S.UB4.126

Practical lessons material

Ant Colony Optimization and Particle Swarm Optimization:

Exam modalities

The second session exam will take place on Tuesday, August 21, 2018, 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 project for the second session is in Swarm Robotics and is described in the following files:

Project description second session

Swarm robotics project files

The deadline for the delivery of the first session project is Wednesday, August 15, 2018, 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 3 calendar days. Projects delivered after the midnight of Saturday, August 18, 2018, will not be considered and the student will therefore not be admitted to the exam.

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/infoh414.1550538851.txt.gz · Last modified: 2019/02/19 02:14 by mdorigo