Telecommunications network design algorithms
Telecommunications network design algorithms
The hop-limit approach for spare-capacity assignment in survivable networks
IEEE/ACM Transactions on Networking (TON)
Optimal capacity placement for path restoration in STM or ATM mesh-survivable networks
IEEE/ACM Transactions on Networking (TON)
Restoration strategies and spare capacity requirements in self-healing ATM networks
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Hands-on ATM
A spare capacity planning methodology for wide area survivable networks
A spare capacity planning methodology for wide area survivable networks
Dimensioning of survivable WDM networks
IEEE Journal on Selected Areas in Communications
A tutorial on using genetic algorithms for the design of network topology
International Journal of Network Management
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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.