Design of Virtual Topologies using the Elitist Team of Multiobjective Evolutionary Algorithms

Designing virtual topologies is necessary to obtain maximum performance of optical networks. In this paper the routing and wavelength assignation (RWA) is computed using an elitist team of multiobjective evolutionary algorithms, which proposes converting the original RWA problem into a problem of traditional routing, thereby modifying the graph that represents the optical network. The Elitist Team Algorithm simultaneously minimizes the total hop count and the total number of wavelengths for a set of given unicast demands. In this way, a set of optimal solutions, known as a Pareto set, is calculated in only one run of the algorithms without a priori restrictions.