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 Genetic algorithm for the topological design of survivable optical transport networks
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5992

title: Genetic algorithm for the topological design of survivable optical transport networks
authors: Morais, Rui Manuel
Pavan, Claunir
Pinto, Armando Nolasco
Requejo, Cristina
keywords: Genetic algorithm
Survivable network design
Optical networks
Dedicated protection
CAPEX
issue date: 2011
publisher: Optical Society of America
abstract: We develop a genetic algorithm for the topological design of survivable optical transport networks with minimum capital expenditure. Using the developed genetic algorithm we can obtain near-optimal topologies in a short time. The quality of the obtained solutions is assessed using an integer linear programming model. Two initial population generators, two selection methods, two crossover operators, and two population sizes are analyzed. Computational results obtained using real telecommunications networks show that by using an initial population that resembles real optical transport networks a good convergence is achieved.
URI: http://hdl.handle.net/10773/5992
ISSN: 1943-0620
publisher version/DOI: http://dx.doi.org/10.1364/JOCN.3.000017
source: Journal of Optical Communications and Networking
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