@inbook{f4aa4a147f2144fdb04634211c673f06,
title = "Butterfly Optimization Algorithm",
abstract = "Butterfly Optimization Algorithm (BOA) is a unique algorithm inspired by nature. The algorithm replicates the behavior of the natural butterfly which can be described to perform a cooperative movement while navigating towards its food source and position. The butterflies are well known for having the power to analyze and receive smell in the air thereby tracing and discovering the direction of their partner and food source. BOA model was implemented in MATLAB to illustrate the approach, 30 search agents were considered (n = 30) and the maximum number of iterations was set to 1000. The best solution obtained by BOA is [3.0175 1.9708] and the best optimal value of the objective function found by BOA is 0.015431. The parameter space and the convergence test are presented. BOA is considered very useful for solving complex optimization problems.",
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_11",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "105--114",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}