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

Author

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

Author_Institution

Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK

fYear

1997

fDate

2-4 Sep 1997

Firstpage

415

Lastpage

420

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

Keywords

genetic algorithms; COST 239 European Optical Network; EON; connected nodes; decision trees; genetic programming; minimum cost topology optimisation; optical telecommunication networks; relational function set;

fLanguage

English

Publisher

iet

Conference_Titel

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

Conference_Location

Glasgow

ISSN

0537-9989

Print_ISBN

0-85296-693-8

Type

conf

DOI

10.1049/cp:19971216

Filename

681062

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2043986