@inbook{9a557891acc54b058440d00cf3d66209,
title = "Future of Nature Inspired Algorithm, Swarm and Computational Intelligence",
abstract = "Research on meta-heuristics, other high level computational intelligence techniques and evolutionary computing, are the focus of researchers in the current industrial revolution. Nature-inspired algorithms have been discussed intensively in the previous chapters. They are very useful algorithms for solving complex problems. Traditional algorithms may not offer good solutions to such complex problems. Non-linear and stochastic problems require sophisticated algorithms especially to support the technologies of industry 4.0. This present industrial revolution which represent the successive trend of digital technologies can be described as a blurred streak between idea and reality, biological and digital connections where meta-heuristic techniques will be very useful in real-life problem solving. Other interesting meta-heuristic and hybrid algorithms for the future are detailed in this chapter.",
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_15",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "147--151",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}
