Content deleted Content added
←Created page with 'Bat-inspired algorithm is a metaheuristic search optimization developed by Xin-She Yang in 2010.<ref>Yang, X.-S., A New Metaheuristic Bat-Inspired Algorithm, in...' |
No edit summary |
||
Line 1:
Bat-inspired algorithm is a [[metaheuristic]] search [[optimization]] developed by Xin-She Yang in 2010.<ref>Yang, X.-S., A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) (Eds. J. R. Gonzalez et al.), Studies
in Computational Intelligence, Springer Berlin, 284, Springer, 65-74 (2010). http://arxiv.org/abs/1004.4170 </ref> This bat algorithm is based on the echolocation behaviour of [[microbats]] with varying pulse emission and loudness.<ref>Altringham, J. D., Bats: Biology and Behaviour, Oxford Univesity Press, (1996).</ref><ref>Richardson, P., Bats. Natural History Museum, London, (2008)</ref>
The idealization of [[echolocation]] can be summarized as follows: Each virtual bat fly randomly with a velocity <math>v_i</math> at position (solution) <math>x_i</math> with a varying frequency or wavelength and loudness <math>A_i</math>. As it searches and finds
its prey, it changes frequency, loudness and pulse emission rate <math>r</math>. Search is intensified by a local [[random walk]]. Selection of the best continues until certain stop criteria are met.
== References ==
| |||