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An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas

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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2084))

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Abstract

Telecommunication is one of the fastest growing business sectors. Future networks will need to integrate a wide variety of services demanding different qualities and capacities from the network. In this paper, network architecture based on hybrid fiber optic-coaxial cable (HFC) is proposed to develop cable integrated telematic services. An evolutionary algorithm is presented to solve the problem in suitable computation times when dealing with real times civil works problems. Finally we present the results over both problem library and real life scenarios.

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References

  1. Belvaux, G., Boissin, N., Sutter, A. and Wolsey L. A.: Optimal placement of add/drop multiplexers: static and dynamic models. Eur J Opl Res 108 (1998) 26–35

    Article  MATH  Google Scholar 

  2. Sutter, A., Vanderbeck, F. and Wolsey, L. A.: Optimal placement of add/drop multiplexers: heuristic and exact algorithms. Opns Res 46 (1998) 719–728

    Article  MATH  Google Scholar 

  3. Winter, P.: Steiner problem in networks. Networks 17 (1987) 129–167

    Article  MATH  MathSciNet  Google Scholar 

  4. Cortes, P., Larrañeta, J., Onieva, L. and Garcia, J. M.: Multi-injection model to solve the Steiner problem. In: Sforza, A. (ed.): Simulation and Optimisation in Operations Management. Edizioni Scientifiche Italiane, Napoli (1999) 83–84

    Google Scholar 

  5. Wong, R. T.: A dual ascent approach for Steiner tree problems on a directed graph. Math Program 28 (1984) 271–287

    Article  MATH  Google Scholar 

  6. Magnanti, T. L., Wolsey, L. A.: Optimal trees. In: Ball, M. O. et al (eds.): Network Models. North-Holland, Elsevier (1995) 503–615

    Google Scholar 

  7. Grefenstette, J. J.: Incorporating Problem-Specific Knowledge into Genetic Algorithms. In Davis, L. (ed.): Genetic Algorithms and their Applications. Morgan Kaufmann, Los Angeles (1987)

    Google Scholar 

  8. Beasley, J. E.: OR-Library. http://mscmga.ms.ic.ac.uk/info.html (2001).

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Author information

Authors and Affiliations

  1. Dpto. Ingeniería de Organización, Universidad de Sevilla, Sevilla

    Pablo Cortés, Fernando Guerrero, David Canca & José M. García

Authors
  1. Pablo Cortés
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  2. Fernando Guerrero
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  3. David Canca
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  4. José M. García
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial Sanda del Rey, Universidad Nacional de Educación a Distancia, s/n., Madrid, 28040, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Cortés, P., Guerrero, F., Canca, D., García, J.M. (2001). An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_90

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  • DOI: https://doi.org/10.1007/3-540-45720-8_90

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42235-8

  • Online ISBN: 978-3-540-45720-6

  • eBook Packages: Springer Book Archive

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