Universität Wien
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052314 UE Computational Optimisation (2016W)

3.00 ECTS (1.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

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. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 06.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 13.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 20.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 27.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 03.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 10.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 17.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 24.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 01.12. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 15.12. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 12.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 19.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Thursday 26.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

This course is the accompanying exercise-part of the lecture VO Computational Optimisation.
Students are encouraged to take both courses in the same semester.
Exact algorithms and (meta-)heuristics are discussed and implemented for combinatorial optimisation problems (e.g. travelling salesperson).
Selected problems on graphs and networks are modelled and solved with mathematical programming.

Assessment and permitted materials

design and implementation of algorithms, in-class presentations, in-class assignments

Minimum requirements and assessment criteria

minimum half of possible points must be achieved for a passing grade

Examination topics

Reading list

Gendreau M., Potvin J-Y., (2010): Handbook of Metaheuristics, Springer
Barnhart, Gilbert Laporte (2007): Transportation - Handbooks in Operations Research and Management Science, , Volume 14
Anderson, D.R., Sweeney, D.J., Williams, T.A., (2010): An Introduction to Management Science: Quantitative Approaches to Decision Making

Association in the course directory

Last modified: Mo 07.09.2020 15:30