Constrained Shortest Paths and Related Problems: Constrained Network Optimization

Ziegelmann, Mark

ISBN 10: 3836446332 / ISBN 13: 9783836446334

Editore: Vdm Verlag Dr Mueller E K, 2007

Riguardo questo articolo

76 pages. German language. 9.61x6.69x0.16 inches. In Stock.

Codice articolo __3836446332

Dati bibliografici

• Titolo: Constrained Shortest Paths and Related Problems: Constrained Network Optimization
• Editore: Vdm Verlag Dr Mueller E K
• Data di pubblicazione: 2007
• Lingua: Tedesco
• ISBN 10: 3836446332
• ISBN 13: 9783836446334
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

The shortest path problem arises in various applied settings where some material (e.g., computer data packet, telephone calls, vehicles) is sent between two specified points in a network as quickly, cheaply or reliably as possible. In practice we want to optimize a combination of those criteria (i.e., we have a bi- or multicriteria shortest path problem). This book proposes a 2-step method for the constrained shortest path problem. A relaxation is solved to get upper and lower bounds and then the gap is closed with clever path ranking to obtain the exact solution. Different old and new methods are compared both theoretically and experimentally. The proposed 2-step method also works for a more general class of constrained network optimization problems. In addition the generic approach is illustrated with several examples and a newly developed Constrained Network Optimization Software Package (CNOP) is introduced that provides this generic 2-step approach as well as all state of the art algorithms for constrained shortest paths. This book is a valuable resource for researchers, students as well as practitioners working on the constrained shortest path problem and related problems.

L'autore

Dr. Mark Ziegelmann studied Computer Science at the Universities of Tübingen, Edinburgh, and Saarbrücken and held a DFG doctoral stipend at the Max-Planck-Institute for Computer Science in the Algorithms and Complexitiy Group (Prof. Mehlhorn). In 2001 he completed his Ph.D. and joined the Siemens AG, Munich (Prof. Lauther) as a Research Scientist.