2015
DOI: 10.1007/s11235-015-0083-9
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Lexicographical minimization of routing hops in hop-constrained node survivable networks

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Cited by 5 publications
(3 citation statements)
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“…A very particular constrained multipath lexicographic path problem is addressed in [190], aiming at minimizing the number of active paths with the maximal number of arcs in a resilient routing model where active and backup paths (to be used in the event of failure of service path(s)) have to be calculated simultaneously, all with a bounded number of arcs; ILP formulations are used for obtaining exact solutions.…”
Section: Models That Use Straightforwardly Algorithm(s) Dedicated To ...mentioning
confidence: 99%
“…A very particular constrained multipath lexicographic path problem is addressed in [190], aiming at minimizing the number of active paths with the maximal number of arcs in a resilient routing model where active and backup paths (to be used in the event of failure of service path(s)) have to be calculated simultaneously, all with a bounded number of arcs; ILP formulations are used for obtaining exact solutions.…”
Section: Models That Use Straightforwardly Algorithm(s) Dedicated To ...mentioning
confidence: 99%
“…A bi-criteria resilient routing model (MCSP) for transport networks is described in seeking the calculating of a bi-criteria active path (in terms of minimal load cost and hop count) with a maximally disjoint protection path; an exact resolution method is described, which is based on a k-shortest path algorithm, applied to the convex combination of the two objective functions, hence enabling to obtain all supported and unsupported non-dominated solutions. [Gouveia et al, 2016] (MILP) present a multipath problem, in the context a general resilient point-to-point routing model, by considering a lexicographic optimization formulation; the aim of the formulation is to minimize the number of service (or active) paths with the worst number of hops, such that each connection demand is routed through a set of node disjoint service and backup paths, all with a bound on the number of arcs; integer linear programming formulations are specified and tested for obtaining exact solutions.…”
Section: Routing Modelsmentioning
confidence: 99%
“…In fact, it is also with such an aggregated model that the good results reported in Botton et al [3] are obtained. However, in many other situations the models are not equivalent (see, for instance Gouveia et al [7]) due to extra constraints, although in most of such cases the aggregated model is more efficient for computing the optimal solutions. In fact, here we are in a similar situation as we see next.…”
Section: -(20) This Formulation Uses Integer Variableszmentioning
confidence: 99%