Hauptseminar Evolutionary Algorithms
Evolutionary Algorithms are machine learning techniques inspired by biological evolution, that optimize a population of solutions according to a fitness landscape determined by the
ability to perform a given computational task.
Some of the topics will be
Presentation: Each student presents one topic, usually a paper or book chapter. The presentation should be about 30 minutes followed by 5 to 10 minutes for questions and discussion. Besides the official presentation, we will also talk about presentation style and slide design. The presentation language is either German or English. You might want to check out these suggestions for your presentation. Talk to your advisor at least 2 weeks before your scheduled talk and show him your presentation.
Audience: The presenter will give his talk to the whole group, not just the instructors. Guests, who are not joining the seminar but are interested in the topics, are welcome, too. So bring your friends and fans as well. This is a good opportunity to practice your presentation skills in front of a larger audience.
Composition: You also must write a summary of your talk. It should be about 10 pages. Hand it in until the end of the semester (but better finish your summary before you give your talk, because trying to write things down in your own words will help you realize which parts of the paper(s) are important). We will make the written summaries available to all participants.
Grading: In order to get the credits (ECTS/Schein), you must give a presentation, write a summary and attend the seminar meetings (occasional exceptions to the last requirement can be made on an individual basis). The seminar is worth 4 credits (ECTS) or 2 SWS.
Organizer: Professor Jürgen Schmidhuber.
Frank Sehnke (email)