Future of Nature Inspired Algorithm, Swarm and Computational Intelligence

Modestus O. Okwu, Lagouge K. Tartibu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Science and Business Media Deutschland GmbH
Pages147-151
Number of pages5
DOIs
Publication statusPublished - 2021

Publication series

NameStudies in Computational Intelligence
Volume927
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

ASJC Scopus subject areas

  • Artificial Intelligence

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