040682 PR KFK PM/SCM/TL: Practical Course Metaheuristics II (PM) (2012W)
Continuous assessment of course work
Labels
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 Th 06.09.2012 09:00 to Th 20.09.2012 14:00
- Registration is open from We 26.09.2012 10:00 to Th 27.09.2012 17:00
- Deregistration possible until Su 14.10.2012 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 29.11. 13:00 - 18:00 EDV-Labor 3
- Thursday 06.12. 13:00 - 18:00 EDV-Labor 3
- Thursday 13.12. 13:00 - 18:00 EDV-Labor 3
- Thursday 10.01. 13:00 - 18:00 EDV-Labor 3
- Thursday 17.01. 13:00 - 18:00 EDV-Labor 3
- Thursday 24.01. 13:00 - 18:00 EDV-Labor 6
- Thursday 31.01. 13:00 - 18:00 EDV-Labor 3
Information
Aims, contents and method of the course
Assessment and permitted materials
Evaluation will be performed on a project work (100%). Further details will be discussed during the first lesson.
Minimum requirements and assessment criteria
Examination topics
Lectures, projects (implementation in any programming language chosen by the student).
Reading list
- Handbook of Metaheuristics, Fred Glover & Gary A. Kochenberger, Kluwer's International Series, ISBN 1-4020-7263-5
- The Vehicle Routing Problem, Paolo Toth & Daniele Vigo, SIAM Monographs on Discrete Mathematics and Applications, ISBN 978-0898714982
- The Vehicle Routing Problem, Latest Advances and New Challenges, Bruce Golden, S. Raghavan & Edward Wasil, Springer, ISBN 978-0-387-77777-1
- The Vehicle Routing Problem, Paolo Toth & Daniele Vigo, SIAM Monographs on Discrete Mathematics and Applications, ISBN 978-0898714982
- The Vehicle Routing Problem, Latest Advances and New Challenges, Bruce Golden, S. Raghavan & Edward Wasil, Springer, ISBN 978-0-387-77777-1
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Knowledge in implementing C++ or any other language is required or the course 040491 Implement. v. Optimierungsverfahren should be visited in parallel.