Name
Abstract | ||
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The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been attracting more and more research interest and has been widely employed in many real-world problems due to its unique search manner and high efficiency. In this article, we present a comprehensive review of its advances and applications. We begin with an introduction to the original fireworks algorithm. Then we review its algorithmic research work for single objective and multi-objective optimization problems. After that, we present the theoretical analyses of the fireworks algorithm. Finally, we give a brief overview of its applications and implementations. Hopefully, this article could provide a useful road map for researchers and practitioners who are interested in this algorithm and inspire new ideas for its further development.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3362788 | ACM Computing Surveys (CSUR) |
Keywords | Field | DocType |
Fireworks algorithm,evolutionary computation,swarm intelligence | Data science,Data mining,Fireworks algorithm,Computer science | Journal |
Volume | Issue | ISSN |
52 | 6 | 0360-0300 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||