Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks
Pattara Aiyarak · 1997
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. The Background The research that will be described in this paper was carried out as a development of earlier work undertaken as part of COST Action 239. The COST framework (European Cooperation in the field of Scientific and Technical Research) is run by the European Commission, aiming to promote pre-competitive R&D cooperation between industry, universities and national research centers. COST 239, `Ultra-high Capacity Optical Transmission Networks', studied the feasibility of a transparent optical overlay network capable o...