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

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

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 connecte...

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Hauptverfasser: Aiyarak, P, Saket, A.S, Sinclair, M.C
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Communication network design, planning and routing
Computer science
control theory
systems
Exact sciences and technology
Office automation, teleprocessing
Operational research and scientific management
Operational research. Management science
Optical communication
Optimisation techniques
Optimization. Search problems
Software
Theoretical computing
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Beschreibung
Zusammenfassung: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.
ISSN:0537-9989
DOI:10.1049/cp:19971216