The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying pulse rates of emission and loudness.[1][2] The Bat algorithm was developed by Xin-She Yang in 2010.[3]
- ^ J. D. Altringham, Bats: Biology and Behaviour, Oxford University Press, (1996).
- ^ P. Richardson, Bats. Natural History Museum, London, (2008)
- ^ Yang, X. S. (2010). "A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010)". Studies in Computational Intelligence. 284: 65–74. arXiv:1004.4170. Bibcode:2010arXiv1004.4170Y.