other · 2017

Bat Algorithm

Omid Bozorg‐Haddad, Mohammad Solgi, Hugo A. Loáiciga

Cited by 0Abstract and details only

Abstract

This chapter describes the bat algorithm (BA) that is a relatively new meta-heuristic optimization algorithm. The basic concepts of the BA are inspired by the echolocation behavior of bats. The following sections present a literature review of the BA and its applications, a description of the analogy between the behavior of microbats and the BA, a detailed explanation of the BA, and introduce a pseudo code of the BA.

Cite this paper

APA 7

Bozorg‐Haddad, O., Solgi, M., & Loáiciga, H. A. (2017). Bat Algorithm. https://doi.org/10.1002/9781119387053.ch18

MLA 9

Bozorg‐Haddad, Omid, et al. “Bat Algorithm.” 2017, pp. 213–21, https://doi.org/10.1002/9781119387053.ch18.

Chicago

Bozorg‐Haddad, Omid, Mohammad Solgi, and Hugo A. Loáiciga. 2017. “Bat Algorithm.” https://doi.org/10.1002/9781119387053.ch18.

Harvard

Bozorg‐Haddad, O., Solgi, M. and Loáiciga, H.A. (2017) ‘Bat Algorithm’. Available at: https://doi.org/10.1002/9781119387053.ch18.

BibTeX

@misc{bozorghaddad2017algorithm,
  title = {{Bat Algorithm}},
  author = {Bozorg‐Haddad, Omid and Solgi, Mohammad and Loáiciga, Hugo A.},
  pages = {213--221},
  year = {2017},
  doi = {10.1002/9781119387053.ch18}
}

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