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Cuckoo Search via Lévy flights
Abstract
In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour of some birds and fruit flies. We validate the proposed algorithm against test functions and then compare its performance with those of genetic algorithms and particle swarm optimization. Finally, we discuss the implication of the results and suggestion for further research.
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Metadata
- Authors
- Yang, X.-S., & Deb, S.
- Venue
- 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
- Publisher
- IEEE
- Published
- 2009
- Pages
- 210-214
- OpenAlex
- W1976744965
- Cited by
- 6,185
- References
- 0
- FWCI
- 33.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Cuckoo Search via Lévy flights. https://app.cochat.ai/papers/10.1109/nabic.2009.5393690
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- Yang, X.-S., & Deb, S. (2009). Cuckoo Search via Lévy flights. 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC). https://doi.org/10.1109/nabic.2009.5393690
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
