Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach

Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach

0.00 Avg rating0 Votes
Article ID: iaor2008269
Country: United Kingdom
Volume: 35
Issue: 6
Start Page Number: 645
End Page Number: 658
Publication Date: Dec 2007
Journal: OMEGA
Authors: ,
Keywords: quality & reliability, heuristics: genetic algorithms, programming: probabilistic, simulation: applications
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.

Reviews

Required fields are marked *. Your email address will not be published.