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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 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
Ant Colony Optimization and Particle Swarm Optimization:
* The TSP solved using Ant System
* Scripts
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* Template of ACO for the TSP (implemented)
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* 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 via the following form: <URL WILL BE INSERTED ON MAY 10th AT 17h00>.
Registrations open on May 9th at 17h00 and close on May 10th at 17h00. In this form, you will indicate the project of your preference.
Please note that what you indicate is just a preference: choosing a project does not necessarily mean that the project is assigned to you. We need to balance the number of students in the two project types. Therefore, we do reserve the right to change the project that you have selected as the preferred one. We will do so on a first come, first served basis – thus giving priority to those students who register earlier.
On May 10th at around 18h00, you shall receive an email with the final project assignments.
Note: If you fail to register by the deadline, send an email to both aligot@ulb.ac.be and ccamacho@ulb.ac.be. We will then assign you to a project.
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 5 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.
Ex cathedra and projects. Course taught in English.