Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach |
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Authors: | Abdullah Konak Michael R Bartolacci |
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Institution: | aInformation Sciences and Technology, Penn State Berks, Tulpehocken Road, P.O. Box 7009, Reading, PA 19610-6009, USA |
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Abstract: | 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. |
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Keywords: | Telecommunications Reliability Simulation Stochastic programming |
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