Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks
Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks
- Author(s): P. Aiyarak ; A.S. Saket ; M.C. Sinclair
- DOI: 10.1049/cp:19971216
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- Author(s): P. Aiyarak ; A.S. Saket ; M.C. Sinclair Source: Second International Conference on Genetic Algorithms in Engineering Systems, 1997 p. 415 – 420
- Conference: Second International Conference on Genetic Algorithms in Engineering Systems
- DOI: 10.1049/cp:19971216
- ISBN: 0 85296 693 8
- Location: Glasgow, UK
- Conference date: 2-4 Sept. 1997
- Format: PDF
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.
Inspec keywords: genetic algorithms; telecommunication network routing; network topology; optical fibre networks; minimisation
Subjects: Communication network design, planning and routing; Optimisation techniques; Optical communication
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