040676 PR KFK PM/SCM/TL: Practical Course Metaheuristics I (2010W)
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 08.09.2010 09:00 to We 22.09.2010 17:00
- Registration is open from Tu 28.09.2010 09:00 to We 29.09.2010 17:00
- Deregistration possible until Th 14.10.2010 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 05.10. 09:00 - 13:00 EDV-Labor 3
- Tuesday 12.10. 09:00 - 13:00 EDV-Labor 3
- Tuesday 19.10. 09:00 - 13:00 EDV-Labor 3
- Tuesday 09.11. 09:00 - 13:00 EDV-Labor 3
- Tuesday 16.11. 09:00 - 13:00 EDV-Labor 3
- Tuesday 23.11. 09:00 - 13:00 EDV-Labor 3
Information
Aims, contents and method of the course
Assessment and permitted materials
Short tests during the course: 40%
Project work: 50%
Participation during lessons: 10%
Project work: 50%
Participation during lessons: 10%
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.