Application of nature inspired algorithms to multi-objective optimization of new generation network problem

Abstract

The subject of the paper is the application of metaheuristic algorithms inspired by nature for multi-criteria optimization in new generation optical networks. In the considered optical network, criteria related to the structure and topology of the network and the equipment used were taken into account. Network criteria include the length of optical channels, optical fiber attenuation, and dispersion. On the other hand, the hardware criteria include the cost of transponders and a finite range of frequency slides in the optical spectrum of the optical fiber. Several nature-inspired metaheuristics were used for the multi-criteria optical network optimization problem. The proposed algorithm, based on the bee algorithm was compared with others taken from the literature. Simulation results of all algorithms were implemented and carried out using test networks with topology typical for telecommunication networks. The proposed and improved algorithm obtained good results that encourage further work and research.