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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

Details

max. 25 participants

Language: English

Lecturers

Stefan Rath

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: Fr 31.08.2018 08:48