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Joint optimization of delay and congestion in wavelength-routed optical networks using genetic algorithms

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Abstract

A new multipurpose genetic algorithm, based on Pareto optimality, is proposed to design logical topologies for wavelength-routed optical networks with the aim of minimizing both the congestion and the end-to-end delay. Simulation results show its efficiency when compared with other previously proposed algorithms, achieving in most cases optimal or near-optimal solutions, and in less time than other methods. Moreover, since the algorithm relies on Pareto optimality, not only does it obtain a single logical topology but a set of them, so that the network designer can easily select the most appropriate one according to the current network requirements.

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Authors and Affiliations

  1. Department of Signal Theory, Communications and Telematic Engineering, University of Valladolid, ETSI de Telecomunicación, camino del cementerio s/n, Valladolid, 47011, Spain

    Ramón J. Durán, Ignacio de Miguel, Noemí Merayo, Patricia Fernández, Rubén M. Lorenzo & Evaristo J. Abril

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  1. Ramón J. Durán
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  2. Ignacio de Miguel
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  3. Noemí Merayo
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  4. Patricia Fernández
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  5. Rubén M. Lorenzo
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  6. Evaristo J. Abril
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Correspondence to Ramón J. Durán.

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Durán, R.J., de Miguel, I., Merayo, N. et al. Joint optimization of delay and congestion in wavelength-routed optical networks using genetic algorithms. Photon Netw Commun 18, 334–344 (2009). https://doi.org/10.1007/s11107-009-0196-8

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  • DOI: https://doi.org/10.1007/s11107-009-0196-8

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