Genetic Programming Approaches for Minimum Cost
Topology Optimisation of Optical Telecommunication
Networks
P. Aiyarak, A. Saket, and M. Sinclair. Second International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications,
GALESIA, University of Strathclyde, Glasgow, UK, IEE, (1-4 September 1997)
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.
%0 Conference Paper
%1 aiyarak:1997:GPtootn
%A Aiyarak, P.
%A Saket, A. S.
%A Sinclair, M. C.
%B Second International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications,
GALESIA
%C University of Strathclyde, Glasgow, UK
%D 1997
%I IEE
%K algorithms, genetic networks, programming, telecommunication topology
%T Genetic Programming Approaches for Minimum Cost
Topology Optimisation of Optical Telecommunication
Networks
%U http://uk.geocities.com/markcsinclair/ps/galesia97_aiy.ps.gz
%X 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.
%@ 0-85296-693-8
@inproceedings{aiyarak:1997:GPtootn,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {University of Strathclyde, Glasgow, UK},
author = {Aiyarak, P. and Saket, A. S. and Sinclair, M. C.},
biburl = {https://www.bibsonomy.org/bibtex/21b3efbb914e86c1b081227868901c238/brazovayeye},
booktitle = {Second International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications,
GALESIA},
email = {mcs@essex.ac.uk},
interhash = {90960986bc4e00e0202403048bf09dee},
intrahash = {1b3efbb914e86c1b081227868901c238},
isbn = {0-85296-693-8},
keywords = {algorithms, genetic networks, programming, telecommunication topology},
month = {1-4 September},
notes = {GALESIA'97},
publisher = {IEE},
publisher_address = {Savoy Place, London, WC2R 0BL, UK},
size = {6 pages},
timestamp = {2008-06-19T17:35:22.000+0200},
title = {Genetic Programming Approaches for Minimum Cost
Topology Optimisation of Optical Telecommunication
Networks},
url = {http://uk.geocities.com/markcsinclair/ps/galesia97_aiy.ps.gz},
year = 1997
}