The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Firefly Algorithm, Lévy Flights and Global Optimization
Abstract
Nature-inspired algorithms such as Particle Swarm Optimization and Firefly Algorithm are among the most powerful algorithms for optimization. In this paper, we intend to formulate a new metaheuristic algorithm by combining Levy flights with the search strategy via the Firefly Algorithm. Numerical studies and results suggest that the proposed Levy-flight firefly algorithm is superior to existing metaheuristic algorithms. Finally implications for further research and wider applications will be discussed.
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Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Goldberg, D. E., & Shakespeare, W. (2002) · Cited by 16,088
Swarm Intelligence: From Natural to Artificial Systems
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999) · Oxford University Press eBooks · doi:10.1093/oso/9780195131581.001.0001 · Cited by 6,435
(2019) · Handbook of Machine Learning · doi:10.1142/9789811205675_0004 · Cited by 6,270
Nature-Inspired Metaheuristic Algorithms
Yang, X. (2008) · Medical Entomology and Zoology · Cited by 4,556
Self-citationHandbook of Evolutionary Computation
(1997) · Institute of Physics eBooks · doi:10.1887/0750308958 · Cited by 2,990
Engineering Optimization: An Introduction with Metaheuristic Applications
Yang, X. (2010) · Wiley eBooks · doi:10.1002/9780470640425 · Cited by 1,248
Self-citationEngineering Optimization: An Introduction with Metaheuristic Applications
Yang, X. (2010) · Middlesex University Research Repository (Middlesex University Of London) · Cited by 1,063
Self-citationBarthelemy, P., Bertolotti, J., & Wiersma, D. S. (2008) · Nature · doi:10.1038/nature06948 · Cited by 743
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Saremi, S., Mirjalili, S., & Lewis, A. (2017) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2017.01.004 · Cited by 2,727
A comprehensive review of firefly algorithms
Fister, I., Fister, I., Yang, X.-S., & Brest, J. (2013) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2013.06.001 · Cited by 1,308
Self-citationChaotic whale optimization algorithm
Kaur, G., & Arora, S. (2018) · Journal of Computational Design and Engineering · doi:10.1016/j.jcde.2017.12.006 · Cited by 533
Khan, M. A., & Algarni, F. (2020) · IEEE Access · doi:10.1109/access.2020.3006424 · Cited by 283
Computational methodologies for optimal sensor placement in structural health monitoring: A review
Tan, Y., & Zhang, L. (2020) · Structural Health Monitoring · doi:10.1177/1475921719877579 · Cited by 186
Metadata
- Authors
- Yang, X.-S.
- Venue
- Research and Development in Intelligent Systems XXVI
- Publisher
- Springer London
- Published
- 2009-10-19
- Pages
- 209-218
- OpenAlex
- W1955291487
- Cited by
- 962
- References
- 16
- FWCI
- 24.30
- Type
- book chapter
- Language
- en
- Open access
- closed
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