A two-objective optimization scheme for high-OSNR and low-power-consuming all-optical networks

•We optimize the OSNR and optical power consumption in all-optical networks.•We utilize a Multi-Objective Particle Swarm Optimization, MOPSO, to solve the mentioned problem.•Two different scenarios, named Scenario 1 and Scenario 2 are investigated.•We propose two novel encoding methods for representing the solutions of the problem as strings.•The evaluation of the performance of the proposed optimization scheme is done for two different virtual topologies.

In all-optical networks the ASE noise of the utilized optical power amplifiers is a major impairment, making the OSNR to be the dominant parameter in QoS. In this paper, a two-objective optimization scheme using Multi-Objective Particle Swarm Optimization (MOPSO) is proposed to reach the maximum OSNR for all channels while the optical power consumed by EDFAs and lasers is minimized. Two scenarios are investigated: Scenario 1 and Scenario 2. The former scenario optimizes the gain values of a predefined number of EDFAs in physical links. The gain values may be different from each other. The latter scenario optimizes the gains value of EDFAs (which is supposed to be identical in each physical link) in addition to the number of EDFAs for each physical link. In both scenarios, the launch powers of the lasers are also taken into account during optimization process. Two novel encoding methods are proposed to uniquely represent the problem solutions. Two virtual demand sets are considered for evaluation of the performance of the proposed optimization scheme. The simulations results are described for both scenarios and both virtual demands.