Universität Wien

040676 PR KFK PM/SCM/TL: Practical Course Metaheuristics I (2008W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

One of the three optional "Metaheuristics II" courses must be taken after this one. This course is about learning bases and methods, and Metaheuristics II is about implementing them to more specific problems.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 02.10. 10:00 - 12:00 EDV-Labor 3
Monday 06.10. 10:00 - 12:00 EDV-Labor 3
Thursday 09.10. 10:00 - 12:00 EDV-Labor 3
Monday 13.10. 10:00 - 12:00 EDV-Labor 3
Thursday 16.10. 10:00 - 12:00 EDV-Labor 3
Monday 20.10. 10:00 - 12:00 EDV-Labor 3
Thursday 23.10. 10:00 - 12:00 EDV-Labor 3
Monday 27.10. 10:00 - 12:00 EDV-Labor 3
Thursday 30.10. 10:00 - 12:00 EDV-Labor 3
Monday 03.11. 09:00 - 10:00 EDV-Labor 3
Monday 03.11. 10:00 - 13:00 EDV-Labor 3
Thursday 06.11. 10:00 - 12:00 EDV-Labor 3
Monday 10.11. 09:00 - 13:00 EDV-Labor 3

Information

Aims, contents and method of the course

Metaheuristics are simple and nice methods to solve hard and complex problems.
Following this course will allow students to learn basic concepts relevant for metaheuristics.
An introduction on metaheuristics for Production Management, Transportation Logistics and Supply Chain Management will be provided.

Assessment and permitted materials

Evaluation methods will be determined at the first course. They will depend on the background of the students, the size of the group, and will be discussed together.

Minimum requirements and assessment criteria

At the end of this course, students will know what are metaheuristics, why they are needed, how to design them, and how to evaluate their quality.

Examination topics

Lectures, exercises, discussions.

Reading list

- Handbook of Metaheuristics, Fred Glover & Gary A. Kochenberger, Kluwer's International Series, ISBN 1-4020-7263-5
- Stochastic Local Search, Foundations and Applications, Holger H. Hoos & Thomas Stützle, Elsevier, ISBN 1-55860-872-9
- Search Methodologies, Introductory Tutorials in Optimization and Decision Support Techniques, Edmund K. Burke & Graham Kendall, Springer, ISBN 0-387-23460-8

Association in the course directory

Last modified: Mo 07.09.2020 15:29