@inbook{32bca5dafadf470f987f1c166622c403,
title = "Bat Algorithm",
abstract = "Bat algorithm (BA) is an innovative population-based technique which belongs to the swarm intelligence group. This meta-heuristic algorithm provides a suitable solution technique than numerous and prevalent classical and heuristic techniques. This chapter is an exposition of the communication and navigational pattern of bats and micro-bats echolocation (EL), algorithm development and solved numerical problem. The illustration and implementation of the BAT algorithm for a typical optimization problem considering a numerical equation, using MATLAB code has been demonstrated. The model considers 10 bats and the maximum number of iterations of 1000. The best solution obtained by BA is [1.3138 1.8528 0.261 0.83905 0.34859 1.1436 0.73859 1.7623 0.16537 0.28717]. The best optimal value of the objective function found by BAT is: 0.23604. BA is considered useful in engineering, business, transportation, and other fields of human endeavour.",
author = "Okwu, {Modestus O.} and Tartibu, {Lagouge K.}",
note = "Publisher Copyright: {\textcopyright} 2020, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2021",
doi = "10.1007/978-3-030-61111-8_8",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "71--84",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}