
AbstractThe ring spur assignment problem arises in the design of next‐generation telecommunications networks and has applications in location‐allocation problems. The aim is to identify a minimum cost set of interconnected ring spurs. We seek to connect all nodes of the network either on a set of bounded disjoint local rings or by a single spur edge connected to a node on a local ring. Local rings are interconnected by a special ring called the tertiary ring. We show that the problem is NP ‐Hard and present an Integer Programming formulation with additional valid inequalities. We implement a branch‐and‐cut algorithm and present our conclusions with computational results. © 2013 Wiley Periodicals, Inc. NETWORKS, 2013
NP-Hardness Proof, Network design and communication in computer systems, survivable network design, IP Formulation, Integer programming, NP-hardness proof, Survivable Network Design, 004, IP formulation, Communication networks in operations research, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), branch-and-cut algorithm, Branch-and-Cut Algorithm, Recherche opérationnelle
NP-Hardness Proof, Network design and communication in computer systems, survivable network design, IP Formulation, Integer programming, NP-hardness proof, Survivable Network Design, 004, IP formulation, Communication networks in operations research, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), branch-and-cut algorithm, Branch-and-Cut Algorithm, Recherche opérationnelle
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