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There is a wide eld of applications of network reliability techniques We nd these problems in evaluations of electrical power networks, transportation systems (especially urban transportation systems; see [56]), interconnection networks (ie, networks connecting processors, memory and other devices inside a multiprocessor computer), fault-tolerant computer architectures, etc As already stated, a central area of application is in the evaluation of communication ystems The usefulness of connectivity measures such as those ones presented above is clear, for instance, in packet switching communication networks using dynamic routing which allows rerouting of data in the event of the failure of a link It must be said that many modern packet switching networks are rather dense and that the reliability measures considered tend to be close to unity The computation of the unreliability of the system systematically corresponds then to the evaluation of the probability of a rare event In this section, we give some examples of applications in different contexts, such as the design of telecommunication networks and other systems [5, 20 25, 43, 44, 47, 50, 57], the design and evaluation of mobile ad hoc networks and of tactical radio networks (specially in military contexts) [19], the evaluation of transport networks, and the assessment of the reliability of road networks with respect to seismic hazards and other disasters [35, 45, 49, 61] The aim of this section is to underline the wide range of application of these problems, and thus, of the methods proposed to solve them Once again, let us recall that in most of the cases, the events of interest are rare The design of the topology of telecommunication and computer networks is one of the settings where the application of reliability models is more direct As such, there are a number of papers which tackle different variants of this problem, which in general involves deciding which components (links, and sometimes nodes) to include in the network so that the communication among terminals is reliable and the cost is as low as possible Such network design problems are in general NP-hard, so that most literature includes the use of combinatorial optimization heuristics (most often genetic algorithms) to nd approximate solutions One of the rst papers on applying genetic algorithms to solve reliable network design problems was published by Kumar et al [43] These authors tackled three different network design problems: maximization of reliability under a diameter constraint, maximization of diameter under a degree constraint, and maximization of average distance under a degree constraint The solution method applied was based on a genetic algorithm, which solved very small instances of.



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