A comprehensive review: Krill Herd algorithm (KH) and its applications

Asaju La aro Bolaji; Mohammed Azmi Al-Betar; Mohammed A. Awadallah; Ahamad Tajudin Khader; Laith Mohammad Abualigah

doi:10.1016/j.asoc.2016.08.041

A comprehensive review: Krill Herd algorithm (KH) and its applications

Asaju La aro Bolaji
, Mohammed Azmi Al-Betar
, Mohammed A. Awadallah
, Ahamad Tajudin Khader
, Laith Mohammad Abualigah

Federal University Wukari
Al-Balqa Applied University
Al-Aqsa University
Universiti Sains Malaysia

Research output: Contribution to journal › Review article › peer-review

162 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	437-446
Number of pages	10
Journal	Applied Soft Computing
Volume	49
DOIs	https://doi.org/10.1016/j.asoc.2016.08.041
State	Published - 1 Dec 2016
Externally published	Yes

Keywords

Krill Herd algorithm
Metaheuristics
Nature-inspired algorithms
Swarm intelligence algorithms

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10.1016/j.asoc.2016.08.041

Cite this

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title = "A comprehensive review: Krill Herd algorithm (KH) and its applications",

abstract = "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 algorithm, Metaheuristics, Nature-inspired algorithms, Swarm intelligence algorithms",

author = "Bolaji, \{Asaju La aro\} and Al-Betar, \{Mohammed Azmi\} and Awadallah, \{Mohammed A.\} and Khader, \{Ahamad Tajudin\} and Abualigah, \{Laith Mohammad\}",

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AU - Al-Betar, Mohammed Azmi

AU - Awadallah, Mohammed A.

AU - Khader, Ahamad Tajudin

AU - Abualigah, Laith Mohammad

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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.

AB - 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.

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KW - Metaheuristics

KW - Nature-inspired algorithms

KW - Swarm intelligence algorithms

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M3 - Review article

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VL - 49

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JO - Applied Soft Computing

JF - Applied Soft Computing

ER -

A comprehensive review: Krill Herd algorithm (KH) and its applications

Abstract

Keywords

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