Optimization of Large-Scale Conference Schedules

Please always quote using this URN: urn:nbn:de:0297-zib-49506
  • Scientific conferences play an important role in almost all areas of today’s science and research. They offer a wide platform for international researchers and developers for communication and scientific exchange of current problems, experiences and knowledge in nearly all fields of research. Such conferences usually consist of talks about different topics that are given by authorized speakers. The planning process of a conference includes the creation of a scientific program schedule, that means a local and temporal allocation of all available talks. As the number of talks can grow into thousands for large-scale conferences, the conference scheduling becomes a complex challenge. Furthermore there exist a great bandwidth on various and individual requirements on the allocation of the talks. In this thesis we discuss the major problems that occur during the development of a conference schedule and provide a framework how proper conference schedules can be generated computationally. For that, we use Mixed-Integer-Programming techniques to find sched- ules that respect the difficult range of additional constraints. The basis of this thesis was the development of an optimized conference schedule of the International Symposium on Mathematical Programming 2012 (ISMP 2012) in Berlin, Germany. The ISMP is one of the largest conferences in the field of applied mathematics and mathematical optimization and constitutes a great attraction for in- ternational mathematicians and researchers. We will present our results based on the problem instance that we used for the ISMP 2012.

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Metadaten
Author:Alexander TeschORCiD
Document Type:Bachelor's Thesis
Granting Institution:Technische Universität Berlin
Year of first publication:2013