Coupling Developmental Rules and Evolution to Aid in Planning Network Growth
BT Technology Journal
Successful Application of Genetic Algorithms to Network Design and Planning
BT Technology Journal
Eos — An Evolutionary and Ecosystem Research Platform
BT Technology Journal
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Geography- and infrastructure-aware topology design methodology for broadband access networks (FTTx)
Photonic Network Communications
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We investigate applying an evolutionary algorithm (EA) to the design of a passive optical network (PON). We use three techniques to improve the performance. Firstly, to reduce the risk of sub-optimal convergence, we use a novel genetic encoding. Secondly, we combine the EA with a heuristic to guide the optimisation. Thirdly, we investigate various ways of sub-dividing the problem. We briefly present experiments to demonstrate how the EA performs. The results show the strengths and weaknesses of the various techniques we employ.