A new metaheuristic bat-inspired algorithm
Book chapter
Yang, X. 2010. A new metaheuristic bat-inspired algorithm. in: González, J., Pelta, D., Cruz, C., Terrazas, G. and Krasnogor, N. (ed.) Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) Berlin Springer.
Chapter title | A new metaheuristic bat-inspired algorithm |
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Authors | Yang, X. |
Abstract | 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. |
Book title | Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) |
Editors | González, J., Pelta, D., Cruz, C., Terrazas, G. and Krasnogor, N. |
Publisher | Springer |
Place of publication | Berlin |
Series | Studies in Computational Intelligence |
ISBN | |
Hardcover | 9783642125379 |
Electronic | 9783642125386 |
Paperback | 9783642263071 |
ISSN | 1860-949X |
Electronic | 1860-9503 |
Publication dates | |
Online | 16 Apr 2010 |
27 Apr 2010 | |
Publication process dates | |
Deposited | 22 Nov 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-12538-6_6 |
Web of Science identifier | WOS:000279943400006 |
Language | English |
https://repository.mdx.ac.uk/item/83wv0
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