M.Sc. (Information Technology) / A new particle swarm optimisation (PSO) algorithm that produces solutions to the xed spectrum frequency assignment problem (FS-FAP) is presented. Solutions to the FS-FAP are used to allocate frequencies in a mobile telecommunications network and must have low interference. The standard PSO algorithm's velocity method and global selection is ill suited for the frequency assignment problem (FAP). Therefore using the standard PSO algorithm as base, new techniques are developed to allow it to operate on the FAP. The new techniques include two velocity methods and three global selection schemes. This study presents the results of the algorithm operating on the Siemens set of COST 259 problems and shows that it is viable applying the PSO to the FAP.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:12550 |
| Date | 08 October 2014 |
| Creators | Bezuidenhout, William |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
| Rights | University of Johannesburg |
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