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To let students have a basic understanding of swarm intelligence principles
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.
Introduction to Swarm Intelligence
Particle Swarm Optimization (PSO)
Introduction to Swarm Robotics
S22 - Lesson 01 - Thu 13.02.2020 - 2:00pm-4:00pm - S.H2213
S23 - Lesson 02 - Thu 20.02.2020 - 2:00pm-4:00pm - S.H2213
S23 - Lesson 03 - Thu 20.02.2020 - 4:00pm-6:00pm - Descartes (UB4.329a) and Platon (J.1.104)
S24 - Lesson 04 - Thu 27.02.2020 - 2:00pm-4:00pm - S.H2213
s24 - Lesson 05 - Thu 27.02.2020 - 4:00pm-6:00pm - Aristote (UB4.126)
S26 - Lesson 06 - Thu 12.03.2020 - 2:00pm-4:00pm - Aristote (UB4.126)
S26 - Lesson 07 - Thu 12.03.2020 - 4:00pm-6:00pm - Aristote (UB4.126)
S27 - Lesson 08 - Thu 19.03.2020 - 2:00pm-4:00pm - online via email to assistants
S27 - Lesson 09 - Thu 19.03.2020 - 4:00pm-6:00pm - online via email to assistants
S28 - Lesson 10 - Thu 26.03.2020 - 2:00pm-4:00pm - Ask Prof. Birattari - mbiro@ulb.ac.be
S28 - Lesson 11 - Thu 26.03.2020 - 4:00pm-6:00pm -
S29 - Lesson 12 - Thu 02.04.2020 - 2:00pm-4:00pm -
S29 - Lesson 13 - Thu 02.04.2020 - 4:00pm-6:00pm -
S32 - Lesson 14 - Thu 23.04.2020 - 2:00pm-4:00pm -
S32 - Lesson 15 - Thu 23.04.2020 - 4:00pm-6:00pm -
S33 - Lesson 16 - Thu 30.04.2020 - 2:00pm-4:00pm -
S33 - Lesson 17 - Thu 30.04.2020 - 4:00pm-6:00pm -
S34 - Lesson 18 - Thu 07.05.2020 - 2:00pm-4:00pm -
Ant Colony Optimization and Particle Swarm Optimization:
* The TSP solved using Ant System
* Scripts
* Template of ACO for the TSP (implemented)
* ACOTSP (implementation of various ACO algorithms applied to the TSP)
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)
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.
Ex cathedra and projects. Course taught in English.