Multiconstrained Optimization of Networks with Multicast and Unicast Traffic

This paper presents an OSPF routing optimization framework taking into account a set of multiconstrained QoS requirements of the networking domain. The proposed optimization approach, based on Evolutionary Computation, is able to handle network scenarios with both unicast and multicast traffic, providing high quality configurations for single-topology or multi-topology routing approaches. The results clearly show the effectiveness of the devised optimization methods, allowing for the development of management tools automatically providing enhanced configurations to improve the QoS performance of the network.