Abstract
This research team proposes a network survivability evaluation method (Survivability Algorithm based on Immune Clonal Simulated Annealing, SAICSA), is used to solve the problem of network congestion due to link failure in communication network. The method by establishing the clone variation and the clone crossover operation rules, combined with the simulated annealing acceptance criteria to obtain the optimal annealing temperature tends to zero. At the same time, simulation experiment is carried out to the actual data, in-depth study of the relationship between network validity and effect the number of edges, the initial temperature and other factors. The results show that, compared to the immunization program of simulated annealing algorithm and genetic simulated annealing algorithm, SAICSA algorithm shows good adaptability.
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