Hybrid Discrete Grey Wolf Optimization Approach for solving Spectrum Assignment Problem in Elastic Optical Networks
Year: 2026
Type: preprint
Abstract: The forthcoming optical networks is expected to exhibit characteristics of dynamism, heterogeneity, and unpredictability to effectively address the demand for bandwidth resources in telecommunications. Elastic optical networks (EONs) have emerged as a means to achieve enhanced spectrum allocation capabilities, characterized by increased flexibility and improved efficiency, through the utilization of smaller spectrum granularity. In this context, Routing and Spectrum Assignment (RSA) problem plays a crucial role in EON because it improves overall network performance.However, RSA -particularly spectrum allocation within extensive, large-scale networks- remains computationally challenging because it is an NP-hard optimization problem. Solving a large RSA problem is a complex and computationally intensive task. This work introduces a hybrid optimization approach that combines the Gray Wolf Optimizer(GWO) with Simulated Annealing (SA) to tackle spectrum allocation in large optical networks . The main objective of this hybrid approach is to improve the search process by achieving an effective balance between global exploration and local exploitation. The performance of the proposed technique is assessed through simulations using the 14-node NSFNET and the 28-node US Backbone topologies and several graghs topologies. The obtained results indicate that the method described in this study significantly enhances the network capacity.
Source: Research Square
Institution: Badji Mokhtar-Annaba University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7214144436