Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach
As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased reliability of components and cost considerations. Reliability has been a traditional goal within network design optimization. An alternative design consideration, network resilience, has not been studied or incorporated into network designs nearly as much. The authors propose a methodology for the difficult estimation of traffic efficiency (TE), a measure of network resilience, and a hybrid genetic algorithm to design networks using this measure.
Year of publication: |
2007
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Authors: | Konak, Abdullah ; Bartolacci, Michael R. |
Published in: |
Omega. - Elsevier, ISSN 0305-0483. - Vol. 35.2007, 6, p. 645-658
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Publisher: |
Elsevier |
Subject: | Telecommunications Reliability Simulation Stochastic programming |
Saved in:
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