Firefly Algorithm: Recent Advances and Applications

By Xin-She Yang, Xingshi He. arXiv.org, 2013

1,012 citations recorded by the source corpus.

Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse applications. In this paper, we will briefly review the fundamentals of firefly algorithm together with a selection of recent publications. Then, we discuss the optimality associated with balancing exploration and exploitation, which is essential for all metaheuristic algorithms. By comparing with intermittent search strategy, we conclude that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy. We also analyse algorithms and their implications for higherdimensional optimisation problems.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/bb2deacd80c4884658a12b9523e1e229d564dede

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Roozbeh Moazenzadeh
2. Kwok-Wing Chau
3. Babak Mohammadi
4. Shahaboddin Shamshirband
5. Arpan Kumar Kar
6. Yogesh Kumar Dwivedi

In Computational Theory and Mathematics

1. Roozbeh Moazenzadeh
2. Kwok-Wing Chau
3. Babak Mohammadi
4. Shahaboddin Shamshirband
5. Arpan Kumar Kar

In Industrial and Manufacturing Engineering

1. Roozbeh Moazenzadeh
2. Kwok-Wing Chau
3. Babak Mohammadi
4. Shahaboddin Shamshirband
5. Arpan Kumar Kar

Citations in the corpus

• Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA (2019, neutral): “For detailed information, refer to an article released by Yang and He (2013).”
• Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran (2018, methodology): “Second, these subgroups enable the firefly algorithm to simultaneously find all optimal modes (Yang & He, 2013).”
• Bio inspired computing - A review of algorithms and scope of applications (2016, background): “This algorithm can provide a good balance of exploitation and exploration (Yang & He, 2013), since it requires far fewer function evaluations, thereby reducing computational complexity.”