Firefly Algorithm

The Firefly Algorithm (FA) is a nature-inspired metaheuristic optimization algorithm mimicking fireflies' flashing patterns to find optimal solutions in complex search spaces. Current research focuses on enhancing FA's performance, addressing limitations like susceptibility to local optima and slow convergence, often through hybridization with other algorithms (e.g., combining FA with K-means clustering or Particle Swarm Optimization) or parameter tuning techniques (e.g., Monte Carlo methods). This versatile algorithm finds applications in diverse fields, including image processing, engineering design optimization, and scheduling problems, demonstrating its potential for solving real-world challenges requiring efficient and robust optimization strategies.