Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach

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33 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)645-658
Number of pages14
JournalOmega
Volume35
Issue number6
DOIs
StatePublished - Dec 2007

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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