@inbook{a52aa438edb04f3096a3bb51f56cb01b,
title = "Ant Colony Algorithm",
abstract = "Ant colony optimization (ACO) algorithm, models the real-life behavior of ants to solve optimization problems. Information provided in this chapter include: path navigation of ants, foraging pattern of ants by depositing pheromones during exploration and ACO model development. ACO algorithm has been applied to routing in telecommunication networks using TSP. The best route was [1 2 5 3 4 1], corresponding to a minimum cost of 52.",
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_4",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "33--41",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}