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Journal of Optical Communications and Networking

Journal of Optical Communications and Networking

  • Editors: K. Bergman and V. Chan
  • Vol. 3, Iss. 1 — Jan. 1, 2011
  • pp: 17–26

Genetic Algorithm for the Topological Design of Survivable Optical Transport Networks

Rui Manuel Morais, Claunir Pavan, Armando Nolasco Pinto, and Cristina Requejo  »View Author Affiliations

Journal of Optical Communications and Networking, Vol. 3, Issue 1, pp. 17-26 (2011)

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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.

© 2010 Optical Society of America

OCIS Codes
(060.4254) Fiber optics and optical communications : Networks, combinatorial network design
(060.4258) Fiber optics and optical communications : Networks, network topology

ToC Category:
Research Papers

Original Manuscript: May 17, 2010
Revised Manuscript: September 22, 2010
Manuscript Accepted: October 12, 2010
Published: December 8, 2010

Rui Manuel Morais, Claunir Pavan, Armando Nolasco Pinto, and Cristina Requejo, "Genetic Algorithm for the Topological Design of Survivable Optical Transport Networks," J. Opt. Commun. Netw. 3, 17-26 (2011)

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