Gravitational Search Algorithm

The Gravitational Search Algorithm (GSA) is a nature-inspired optimization algorithm mimicking Newtonian gravity to find optimal solutions in complex search spaces. Current research focuses on improving GSA's performance and applicability, including developing heuristics for parameter optimization (like dynamically adjusting the gravitational constant) and hybridizing GSA with other algorithms, such as for enhanced clustering in big data analysis. These advancements aim to increase GSA's efficiency, robustness, and generalizability across diverse applications, particularly in fields like healthcare and data analysis where effective optimization is crucial.