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Titlebook: Network Optimization; 5th International Co Julia Pahl,Torsten Reiners,Stefan Vo? Conference proceedings 2011 Springer-Verlag GmbH Berlin He

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41#
發(fā)表于 2025-3-28 17:50:03 | 只看該作者
A Chance-Constrained Model and Cutting Planes for Fixed Broadband Wireless Networksel is reformulated as an integer linear program and valid inequalities are derived for the corresponding polytope. Computational results show that by an exact separation approach the optimality gap is closed by?42% on average.
42#
發(fā)表于 2025-3-28 20:04:40 | 只看該作者
Cutset Inequalities for Robust Network Designh of Bertsimas and Sim?[3, 4] has been applied to network design problems. In this paper, we consider this so-called Γ-robust network design problem. We investigate its polyhedral structure and present robust versions of the cutset inequalities as well as computational results on their effectiveness.
43#
發(fā)表于 2025-3-29 01:36:10 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/662824.jpg
44#
發(fā)表于 2025-3-29 03:36:45 | 只看該作者
https://doi.org/10.1007/978-3-642-21527-8graph computations; network algorithms; network design; network traffic management; optimization algorit
45#
發(fā)表于 2025-3-29 10:29:21 | 只看該作者
Julia Pahl,Torsten Reiners,Stefan Vo?State-of-the-art research.Fast-track conference proceedings.Unique visibility
46#
發(fā)表于 2025-3-29 13:32:09 | 只看該作者
The Two Layer Network Design ProblemA two layer network design problem arising from the design of an optical network is considered. Two versions of the optical network design problem are studied and polyhedral results for the capacity formulation of the problems are presented.
47#
發(fā)表于 2025-3-29 16:47:17 | 只看該作者
978-3-642-21526-1Springer-Verlag GmbH Berlin Heidelberg 2011
48#
發(fā)表于 2025-3-29 23:07:54 | 只看該作者
49#
發(fā)表于 2025-3-30 01:33:21 | 只看該作者
50#
發(fā)表于 2025-3-30 07:47:03 | 只看該作者
An Exact Algorithm for Robust Network Designwith respect to traffic fluctuations, since they often lead to congestion and traffic bottlenecks. In this paper, we address an NP-hard single commodity robust network design problem, where the traffic demands change over time. For . different times of the day, we are given for each node the amount
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