Firework Algorithm

The Fireworks Algorithm (FWA) is a nature-inspired optimization algorithm mimicking firework explosions to efficiently search for optimal solutions. Current research emphasizes streamlining the algorithm, reducing parameter complexity for easier application, and improving its performance through modifications to explosion operators and the incorporation of adaptive strategies. This focus on efficiency and applicability extends to diverse fields, including feature selection in machine learning and various optimization problems, demonstrating the algorithm's versatility and practical value.