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Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks

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3 Author(s)
P. Aiyarak ; Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK ; A. S. Saket ; M. C. Sinclair

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

Published in:

Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)

Date of Conference:

2-4 Sep 1997