| 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: | Bartolacci Michael R., Konak Abdullah |
| Keywords: | quality & reliability, heuristics: genetic algorithms, programming: probabilistic, simulation: applications |
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.