Given is an undirected graph with positive or negative edge weights which represent a profit if an investment such as installing a gas pipe takes place in a given time period. A certain part of the graph may already be piped in previous periods. The task is to extend the piped subgraph in the most p
A branch-and-cut algorithm for solving an intraring synchronous optical network design problem
โ Scribed by Lee, Youngho; Sherali, Hanif D.; Han, Junghee; Kim, Seong-in
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 133 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0028-3045
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โฆ Synopsis
In this paper, we deal with a network design problem arising from the deployment of synchronous optical networks (SONET), a standard of transmission using optical fiber technology. The problem is to find an optimal clustering of traffic demands in the network such that the total number of node assignments (and, hence, add-drop multiplexer equipment requirements) is minimized, while satisfying the ring capacity and node cardinality constraints. This problem can be conceptualized as an edge-capacitated graph partitioning problem with node cardinality constraints. We formulate the problem as a mixed-integer programming model and develop a new branch-and-cut algorithm along with preprocessing routines for optimally solving the problem. We also prescribe an effective heuristic procedure. Promising computational results are obtained using the proposed method.
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