@misc{EisenblaetterGroetschelKoster2000, author = {Eisenbl{\"a}tter, Andreas and Gr{\"o}tschel, Martin and Koster, Arie M.C.A.}, title = {Frequency Planning and Ramifications of Coloring}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-6152}, number = {00-47}, year = {2000}, abstract = {This paper surveys frequency assignment problems coming up in planning wireless communication services. It particularly focuses on cellular mobile phone systems such as GSM, a technology that revolutionizes communication. Traditional vertex coloring provides a conceptual framework for the mathematical modeling of many frequency planning problems. This basic form, however, needs various extensions to cover technical and organizational side constraints. Among these ramifications are \$T\$-coloring and list coloring. To model all the subtleties, the techniques of integer programming have proven to be very useful. The ability to produce good frequency plans in practice is essential for the quality of mobile phone networks. The present algorithmic solution methods employ variants of some of the traditional coloring heuristics as well as more sophisticated machinery from mathematical programming. This paper will also address this issue. Finally, this paper discusses several practical frequency assignment problems in detail, states the associated mathematical models, and also points to public electronic libraries of frequency assignment problems from practice. The associated graphs have up to several thousand nodes and range from rather sparse to almost complete.}, language = {en} } @misc{AardalHoeselKosteretal.2001, author = {Aardal, Karen I. and Hoesel, Stan P.M. van and Koster, Arie M.C.A. and Mannino, Carlo and Sassano, Antonio}, title = {Models and Solution Techniques for Frequency Assignment Problems}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-6667}, number = {01-40}, year = {2001}, abstract = {{\begin{rawhtml} Revised Version unter http://dx.doi.org/10.1007/s10479-007-0178-0 \end{rawhtml}} Wireless communication is used in many different situations such as mobile telephony, radio and TV broadcasting, satellite communication, and military operations. In each of these situations a frequency assignment problem arises with application specific characteristics. Researchers have developed different modelling ideas for each of the features of the problem, such as the handling of interference among radio signals, the availability of frequencies, and the optimization criterion. This survey gives an overview of the models and methods that the literature provides on the topic. We present a broad description of the practical settings in which frequency assignment is applied. We also present a classification of the different models and formulations described in the literature, such that the common features of the models are emphasized. The solution methods are divided in two parts. Optimization and lower bounding techniques on the one hand, and heuristic search techniques on the other hand. The literature is classified according to the used methods. Again, we emphasize the common features, used in the different papers. The quality of the solution methods is compared, whenever possible, on publicly available benchmark instances.}, language = {en} } @misc{Ridder2008, author = {Ridder, Johanna}, title = {Wegeprobleme der Graphentheorie}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-10782}, number = {08-26}, year = {2008}, abstract = {Den k{\"u}rzesten Weg in einem Graphen zu finden ist ein klassisches Problem der Graphentheorie. {\"U}ber einen Vortrag zu diesem Thema beim Tag der Mathematik 2007 von R. Bornd{\"o}rfer kam ich in Kontakt mit dem Konrad-Zuse-Zentrum (ZIB), das sich u.a. mit Wegeoptimierung besch{\"a}ftigt. Ein Forschungsschwerpunkt dort ist im Rahmen eines Projekts zur Chipverifikation das Z{\"a}hlen von L{\"o}sungen, das, wie wir sehen werden, eng mit dem Z{\"a}hlen von Wegen zusammenh{\"a}ngt. Anhand von zwei Fragen aus der Graphentheorie soll diese Facharbeit unterschiedliche L{\"o}sungsmethoden untersuchen. Wie bestimmt man den k{\"u}rzesten Weg zwischen zwei Knoten in einem Graphen und wie findet man alle m{\"o}glichen Wege? Nach einer Einf{\"u}hrung in die Graphentheorie und einer Konkretisierung der Probleme wird zun{\"a}chst f{\"u}r beide eine L{\"o}sung mit auf Graphen basierenden Algorithmen vorgestellt. W{\"a}hrend der Algorithmus von Dijkstra sehr bekannt ist, habe ich f{\"u}r das Z{\"a}hlen von Wegen einen eigenen Algorithmus auf der Basis der Tiefensuche entwickelt. Im zweiten Teil der Arbeit wird das Konzept der ganzzahligen Programmierung vorgestellt und die L{\"o}sungsm{\"o}glichkeiten f{\"u}r Wegeprobleme, die sich dar{\"u}ber ergeben. Schließlich wurden die vorgestellten Algorithmen am Beispiel des S- und U-Bahnnetzes von Berlin implementiert und mit Programmen, die die gleichen Fragen {\"u}ber ganzzahlige Programmierung l{\"o}sen, verglichen.}, language = {de} }