Universität Wien FIND

052314 UE Computational Optimisation (2019W)

Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

not all classes listed here will take place, prospective classes are listed here http://homepage.univie.ac.at/stefan.rath/LV/co2019.html and will be discussed in the first class on 03.10.2019

Thursday 03.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 10.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 17.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 31.10. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 07.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 14.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 21.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 28.11. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 05.12. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 12.12. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 09.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 16.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 23.01. 18:30 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Thursday 30.01. 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
course slides: http://homepage.univie.ac.at/stefan.rath/LV/co2019.html

Association in the course directory

Module: CO

Last modified: Su 08.09.2019 15:47