Evolutionary Strategy for Practical Design of Passive Optical Networks

Passive optical networks (PONs) are an important and interesting technology for broadband access as a result of the growing demand bandwidth over past 10 years. An arduous complex step in design such involves determining placement equipment, fiber cables several other parameters relevant to proper functioning network. In this paper, we propose evolutionary strategy optimize infrastructure PONs by using genetic algorithm technique. This meta-heuristic is capable elaborating fast, automatic efficient solutions planning PONs. Our proposal has been developed real maps, aiming minimize deployment costs time spent carry out PON projects, achieving pre-defined quality criteria. We considered, our simulations, two scenarios (non-dense dense), four possible topologies regions interest. The non-dense consists scenario which subscribers distributed dispersed manner region dense considerably higher number very close way each other. Based on obtained results, potential quite clear, well its relevance from technical, economic, commercial point view.