Optimization of spare capacity in survivable WDM networks

Authors:
H. W. Chong;Sam Kwong
Affiliations:
Department of Computer Science, City University of Hong Kong, Hong Kong;Department of Computer Science, City University of Hong Kong, Hong Kong
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Year:
2003

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Abstract

A network with restoration capability requires spare capacity to be used in the case of failure. Optimization of spare capacity is to find the minimum amount of spare capacity for the network to survive from network component failures. In this paper, this problem is investigated for wavelength division multiplexing (WDM) mesh networks without wavelength conversion. We propose a hybrid genetic algorithm approach (GA) for the problem. Simulated Annealing (SA) and Tabu Search (TS) are also applied to this problem for comparison purpose. Simulation results show very favorable results for the Genetic Algorithm approach.