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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
