Sparse regeneration placement for translucent optical networks using multiobjective evolutionary algorithms considering quality of service and capital cost

In this paper we propose the use a multiobjective evolutionary optimization algorithm to solve the regenerators placement problem (MORP). Network performance and capital costs are used as optimization objectives. We consider that optical signals are regenerated using a network element that performs 3R (re-amplifying, re-shaping and re-timing) in the electrical domain. Two algorithms for regenerator placement are proposed: multiobjective regenerator placement-not constricted (MORP-NC) and multiobjective regenerator placement-constricted (MORP-C). They are compared through the computational simulation.