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Spare Capacity Planning for Survivable Mesh Networks

11 years 11 months ago
Spare Capacity Planning for Survivable Mesh Networks
Abstract. The design of survivable mesh based STM networks has received considerable attention in recent years and is a complex multiconstraint optimization problem. In this paper, a new spare capacity planning methodology is proposed utilizing genetic algorithms. The method is based on forcing flows/traffic which are on paths that are disjoint to share backup spare capacity. The major advantages of the new approach are a polynomial time complexity and the capability of incorporating nonlinear variables such as nonlinear cost functions into the solution algorithm. Numerical results illustrating the form of the genetic algorithm solution and comparing the proposed methodology to existing techniques from the literature are presented.
Adel Al-Rumaih, David Tipper, Yu Liu, Bryan A. Nor
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where NETWORKING
Authors Adel Al-Rumaih, David Tipper, Yu Liu, Bryan A. Norman
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