A Genetic Algorithm for the Weight Setting Problem in OSPF Routing
By M. Ericsson, Maurício Resende, P. Pardalos. Journal of combinatorial optimization, 2002
390 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/76eb59a701c65f88666bbc9ae7a8fecae95d05f8
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In Computer Networks and Communications
In Electrical and Electronic Engineering
Citations in the corpus
- Oppositional biogeography-based optimization (2009, methodology): “In finance, EC has been employed for bankruptcy [84, 85, 86] and stock predictions [87, 88, 89].”
- Music-Inspired Harmony Search Algorithm (2009, methodology): “Studies include HS convergence [1, 7], the ‘stochastic partial derivative’ [20] and a population variance analysis for Harmony Memory [21].”
- Increasing Internet Capacity Using Local Search (2004, methodology): “Ericsson et al. [ 14 ] have applied a genetic algorithm Buriol et al. [7] have applied a memetic algorithm.”
- Optimizing OSPF/IS-IS weights in a changing world (2002, background): “Cisco's defaults inverse-capacity-weights, and get within a few percent of the best possible with general routing, including MPLS. Similar positive findings have been reported in [6], [14], [21], and [24].”
- Routing, flow, and capacity design in communication and computer networks (2004, background): “1 for details on how the ECMP flow allocation works; see also [ERP02]).”
- Traffic engineering with traditional IP routing protocols (2002, background): “As discovered recently [25, 26], there are several other meta-heuristics that can be used to find good IGP weight settings.”