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A New Metaheuristic Bat-Inspired Algorithm
Open accessAbstract
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats. We also intend to combine the advantages of existing algorithms into the new bat algorithm. After a detailed formulation and explanation of its implementation, we will then compare the proposed algorithm with other existing algorithms, including genetic algorithms and particle swarm optimization. Simulations show that the proposed algorithm seems much superior to other algorithms, and further studies are also discussed.
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Metadata
- Authors
- Yang, X.-S.
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 65-74
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2963103847
- Cited by
- 4,905
- References
- 0
- FWCI
- 84.13
- Type
- book chapter
- Language
- en
- Open access
- green
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