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 14.02.2019 - 2:00pm-4:00pm - IRIDIA Seminars room

S23 - Lesson 02 - Thu 21.02.2019 - 2:00pm-4:00pm - S.UB4.126

S23 - Lesson 03 - Thu 21.02.2019 - 4:00pm-6:00pm - S.UB4.126

S24 - Lesson 04 - Thu 28.02.2019 - 2:00pm-4:00pm - IRIDIA Seminars room

s24 - Lesson 05 - Thu 28.02.2019 - 4:00pm-6:00pm - S.UB4.126

S26 - Lesson 06 - Thu 14.03.2019 - 2:00pm-4:00pm - IRIDIA Seminars room

S26 - Lesson 07 - Thu 14.03.2019 - 4:00pm-6:00pm - S.UB4.126

S27 - Lesson 08 - Thu 21.03.2019 - 2:00pm-4:00pm - IRIDIA Seminars room

S27 - Lesson 09 - Thu 21.03.2019 - 4:00pm-6:00pm - S.UB4.126

S28 - Lesson 10 - Thu 28.03.2019 - 2:00pm-4:00pm - IRIDIA Seminars room

S28 - Lesson 11 - Thu 28.03.2019 - 4:00pm-6:00pm - S.UB4.126

S29 - Lesson 12 - Thu 04.04.2019 - 2:00pm-4:00pm - S.UB4.126

S29 - Lesson 13 - Thu 04.04.2019 - 4:00pm-6:00pm - S.UB4.126

S32 - Lesson 14 - Thu 25.04.2019 - 2:00pm-4:00pm - S.UB4.126

S32 - Lesson 15 - Thu 25.04.2019 - 4:00pm-6:00pm - S.UB4.126

S33 - Lesson 16 - Thu 02.05.2019 - 2:00pm-4:00pm - S.UB4.126

S33 - Lesson 17 - Thu 02.05.2019 - 4:00pm-6:00pm - S.UB4.126

S34 - Lesson 18 - Thu 09.05.2019 - 2:00pm-4:00pm - S.UB4.126

Practical lessons material

Project second session

The project description is available at the following link: Final Project SI - Second Session 2019

Project rules

Project registration - Second session

To take part in the project, which is mandatory for the exam, you have to register by sending an email by July 7, 2019, to:

- Christian Camacho Villalón and Federico Pagnozzi if you choose the project in optimization (ccamacho@ulb.ac.be; federico.pagnozzi@ulb.ac.be)

- Antoine Ligot and David Garzon Ramos if you choose the project in robotics (aligot@ulb.ac.be; dgarzonr@ulb.ac.be)

The deadline for the delivery of the second session project is Friday, August 9, 2019, 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 2 calendar days. Projects delivered after the midnight of Sunday, August 11, 2019, will not be considered and the student will therefore not be admitted to the exam.

Exam modalities

The second session exam will take place on August 19, 2019, at the IRIDIA Lab. The exact schedule will be communicated once we know the exact number of students.

At the exam you will present the results of your project using a powerpoint-like presentation of exactly 5 minutes. Please bring your own portable computer and make sure it is already switched on and ready when you are called in for your oral exam. The rest of the exam will consist of a question answering session on all the subjects covered by the course.

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
  • Francesca G. & M. Birattari (2016). Automatic Design of Robot Swarms: Achievements and Challenges. Frontiers in Robotics and AI. https://www.frontiersin.org/article/10.3389/frobt.2016.00029
  • Birattari M., A. Ligot, D. Bozhinoski et al (2019). Automatic Off-Line Design of Robot Swarms: A Manifesto. Frontiers in Robotics and AI. https://www.frontiersin.org/article/10.3389/frobt.2019.00059

Teaching methods

Ex cathedra and projects. Course taught in English.

Master thesis proposals

 
teaching/infoh414.txt · Last modified: 2019/09/10 10:37 by aligot