@inbook{4e873a776101446eaea61008462e7fab,
title = "Firefly Algorithm",
abstract = "Firefly Algorithm (FA) is a meta-heuristic algorithm which is categorized as one of the fast-growing swarm intelligence algorithms. Based on the flashing pattern of light and their intelligent behaviour, FA can solve problem in all fields of optimization and is considered very useful for solving complex mathematical and engineering problems. This chapter describes converging nature of the firefly, rules for developing the firefly algorithm and FA models. Illustration of the implementation of the FA for a typical optimization problem considering a numerical equation, with twenty (20) fireflies showed best results fbest = 8.9936e-13 corresponding to nbest = [1.0000 2.0000]. This algorithm is useful for solving routing and clustering problems and generic optimization of process variables.",
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_7",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "61--69",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}