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| Detailed information |
| Original study plan |
Master's programme Business Informatics 2018W |
| Objectives |
Students have competent knowledge of existing exact solution concepts used in logistics applications. They know concepts for modelling mixed integer programs. They are able to design mixed integer programs for logistics applications on their own. Furthermore they are able to design, implement and test simple opimization techniques for planning problems. They also have the skills for evaluation of exact results.
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| Subject |
Modelling of mixed integer programs, realization with a commercial solver, branch and bound, branch and cut, column generation, branch and bound and but.
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| Criteria for evaluation |
Talk on the project thesis, examination
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| Methods |
home exercises, project thesis
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| Language |
German |
| Study material |
Suhl, Mellouli: Optimierungssysteme, Springer, 2006.
Grünert, Irnich: Optimierung im Transport, Band I, Grundlagen, Shaker Verlag, 2005.
Korte, Vygen: Combinatorial Optimization - Theory and Algorithms, 5th Edition. Springer, 2010.
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2WCLOOP: SE Computational Logistics: Optimization (2013S-2014S)
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