Harmony Search

Harmony Search (HS) is a metaheuristic optimization algorithm used to find near-optimal solutions for complex problems by mimicking musical improvisation. Current research focuses on improving HS's performance, particularly its exploration capabilities, often through hybridization with other algorithms or adaptation to specific problem structures, such as in federated learning and resource allocation for IoT data. HS's effectiveness across diverse applications, including healthcare systems and cloud computing, highlights its value as a robust and adaptable optimization tool for tackling real-world challenges. The algorithm's simplicity and flexibility contribute to its widespread adoption and ongoing development.