A Hybrid Population-Based Algorithm Integrating Particle Swarm Optimization and Gravitational Search Algorithm

This program proposes a hybrid population-based algorithm that combines Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), with the primary objective of enhancing the integration capabilities of PSO and GSA algorithms while incorporating adaptive parameter tuning for dynamic optimization.