040676 PR KFK PM/SCM/TL: Practical Course Metaheuristics I (2009W)
Continuous assessment of course work
Labels
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).
- Registration is open from We 09.09.2009 09:00 to Tu 22.09.2009 17:00
- Registration is open from Mo 28.09.2009 09:00 to Tu 29.09.2009 17:00
- Deregistration possible until We 14.10.2009 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 05.10. 09:00 - 12:30 EDV-Labor 3
- Monday 12.10. 09:00 - 12:30 EDV-Labor 3
- Monday 19.10. 09:00 - 12:30 EDV-Labor 3
- Monday 09.11. 09:00 - 12:30 EDV-Labor 3
- Monday 16.11. 09:00 - 12:30 EDV-Labor 3
- Monday 23.11. 09:00 - 13:30 EDV-Labor 3
- Monday 23.11. 13:30 - 16:00 EDV-Labor 3
Information
Aims, contents and method of the course
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
- 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
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.