Abstract
This paper describes the use of a genetic-algorithm (GA)/heuristic hybrid approach in a tool for optical network modelling, optimisation and design (NOMaD) being developed by the author at the University of Essex [11] and, in particular, early results from its application to virtual-topology design.
NOMaD is used as part of the author’s own research into the application of GA/heuristic hybrid optimisation techniques to network design, as well as in several research projects, including two Advanced Communications Technologies and Services (ACTS) projects [6]: WOTAN (wavelength-agile optical transport and access network) and OPEN (optical pan-European network).
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© 1998 Springer-Verlag Wien
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Sinclair, M.C. (1998). NOMaD: Applying a Genetic Algorithm/Heuristic Hybrid Approach to Optical Network Topology Design. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_65
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_65
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