Research Area: Metaheuristic Computing
Krill Herd (KH) algorithm is a class of nature-inspired algorithm, which simulates the herding behavior of krill individuals. It has been successfully utilized to tackle many optimization problems in different domains and found to be very efficient. As a result, the studies has expanded significantly in the last 3 years. This paper presents the extensive (not exhaustive) review of KH algorithm in the area of applications, modifications, and hybridizations across these fields. The description of how KH algorithm was used in the approaches for solving these kinds of problems and further research directions are also discussed.
Keywords:
Krill Herd
nature-inspired algorithm
herding behavior
optimization problems
applications
modifications
hybridizations
Author(s) Name: Asaju La’aro Bolaji, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Ahamad Tajudin Khader, Laith Mohammad Abualigah
Journal name: Applied Soft Computing
Conferrence name:
Publisher name: Elsevier
DOI: https://doi.org/10.1016/j.asoc.2016.08.041
Volume Information: Volume 49
