2012
DOI: 10.14311/nnw.2012.22.003
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On the Rupture Degree of a Graph

Abstract: Genetic algorithms (GAs) are stochastic methods that are widely used in search and optimization. The breeding process is the main driving mechanism for GAs that leads the way to find the global optimum. And the initial phase of the breeding process starts with parent selection. The selection utilized in a GA is effective on the convergence speed of the algorithm. A GA can use different selection mechanisms for choosing parents from the population and in many applications the process generally depends on the fi… Show more

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Cited by 4 publications
(2 citation statements)
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“…However, it is possible to determine the rupture degree of large classes of graphs. For more results on rupture degree, we refer the readers to see [16][17][18][19][20][21]. Furthermore, Li gave an algorithm whose complexity is O(n 2 ) for isolating rupture degree in Trees of order n [22].…”
Section: Introductionmentioning
confidence: 99%
“…However, it is possible to determine the rupture degree of large classes of graphs. For more results on rupture degree, we refer the readers to see [16][17][18][19][20][21]. Furthermore, Li gave an algorithm whose complexity is O(n 2 ) for isolating rupture degree in Trees of order n [22].…”
Section: Introductionmentioning
confidence: 99%
“…The communication network can be represented as an undirected and unweighted graph, where a processor (station) is represented as a vertex and a communication link between processors (stations) as an edge between corresponding vertices. If we use a graph to model a network, based on the above three quantities, a number of graph parameters, such as connectivity [2], toughness [5], scattering number [7,17], integrity [1], tenacity [6], rupture degree [8,10,11,12,14] and their edge-analogues, have been proposed for measuring the vulnerability of networks.…”
Section: Introductionmentioning
confidence: 99%