Genetic Programming Approaches for Minimum Cost Topology Optimisation of Optical Telecommunication Networks   [GP] [TN]

by

Aiyarak, P., Saket, A., S. and Sinclair, M., C.

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Info: Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA (Conference proceedings), 1997
Keywords:genetic algorithms, genetic programming, telecommunication networks, topology
Abstract:
This paper compares the relative efficiency of three approaches for the minimum-cost topology optimisation of the COST 239 European Optical Network (EON) using genetic programming. [GP] The GP was run for the central nine nodes using three approaches: relational function set, decision trees, [DT] and connected nodes. Only the best two, decision trees [DT] and connected nodes, were run for the full EON. The results are also compared with earlier genetic algorithm work [GA] on the EON.
Notes:
GALESIA'97
Author(s) DL:Online papers for Sinclair, M., C.
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BibTex:
@InProceedings{aiyarak:1997:GPtootn,
  author =       "P. Aiyarak and A. S. Saket and M. C. Sinclair",
  title =        "Genetic Programming Approaches for Minimum Cost
                 Topology Optimisation of Optical Telecommunication
                 Networks",
  booktitle =    "Second International Conference on Genetic Algorithms
                 in Engineering Systems: Innovations and Applications,
                 GALESIA",
  year =         "1997",
  address =      "University of Strathclyde, Glasgow, UK",
  publisher_address = "Savoy Place, London, WC2R 0BL, UK",
  month =        "1-4 " # sep,
  publisher =    "IEE",
  email =        "mcs@essex.ac.uk",
  keywords =     "genetic algorithms, genetic programming,
                 telecommunication networks, topology",
  abstract =     "This paper compares the relative efficiency of three
                 approaches for the minimum-cost topology optimisation
                 of the COST 239 European Optical Network (EON) using
                 genetic programming. The GP was run for the central
                 nine nodes using three approaches: relational function
                 set, decision trees, and connected nodes. Only the best
                 two, decision trees and connected nodes, were run for
                 the full EON. The results are also compared with
                 earlier genetic algorithm work on the EON.",
  notes =        "GALESIA'97",
}