​Our research group is pleased to announce the publication of a new article titled “Enhancing E-Government Cloud Service Composition with PSO: A Comparative Study on Resource Allocation and Energy Efficiency Against ACO” in the International Journal of Advances in Soft Computing and Its Application.

The study investigates the use of Particle Swarm Optimization (PSO) to enhance cloud service composition in e-government environments, focusing on improving resource allocation, load balancing, and energy efficiency. The performance of PSO was compared with Ant Colony Optimization (ACO) across key metrics, demonstrating PSO’s superior efficiency in reducing energy consumption, improving response time, and optimizing resource utilization.