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GECCO
2005
Springer

Designing resilient networks using a hybrid genetic algorithm approach

10 years 5 months ago
Designing resilient networks using a hybrid genetic algorithm approach
As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased capacity of communication media and cost considerations. Reliability has been a traditional goal within network design optimization of sparse networks. This paper proposes a genetic approach that uses network resilience as a design criterion in order to ensure the integrity of network services in the event of component failures. Network resilience measures have been previously overlooked as a network design objective in an optimization framework because of their computational complexity – requiring estimation by simulation. This paper analyzes the effect of noise in the simulation estimator used to evaluate network resilience on the performance of the proposed optimization approach. Categories and Subject Descriptors C.2.1 [Computer Communication Networks]: Network Architecture and Design- Network Topology. General Terms Algorithms, Design, Reliability, Experimentatio...
Abdullah Konak, Alice E. Smith
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Abdullah Konak, Alice E. Smith
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