Review of research on fireworks algorithm
This is an incremental review paper for researchers in optimization algorithms.
This paper reviews the fireworks algorithm, a new intelligent optimization method noted for its fast convergence and simplicity, and summarizes its applications across various optimization domains along with future research directions.
Fireworks algorithm is a new type of intelligent optimization algorithm. Because of its fast convergence speed, easy implementation, explosiveness, diversity, simplicity and randomness, it has attracted more and more attention in many research fields recently. This paper introduces the background, composition, improvement idea of fireworks algorithm (analysis and improvement of operator, improvement of hybrid algorithm), and its application in continuous optimization, discrete optimization, single-objective optimization, multi-objective optimization and other fields. Finally, the future research directions of fireworks algorithm are summarized, including theoretical analysis, operator analysis and improvement, hybrid algorithm research and algorithm application.