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

被引：112
作者：
Bolaji, Asaju La'aro [1 ]
Al-Betar, Mohammed Azmi [2 ]
Awadallah, Mohammed A. [3 ]
Khader, Ahamad Tajudin [4 ]
Abualigah, Laith Mohammad [4 ]
机构：
[1] Fed Univ Wukari, Dept Comp Sci, Fac Pure & Appl Sci, PMB 1020, Wukari, Taraba State, Nigeria
[2] Al Balqa Appl Univ, Dept Informat Technol, Al Huson Univ Coll, POB 50, Irbid, Jordan
[3] Al Aqsa Univ, Dept Comp Sci, POB 4051, Gaza, Israel
[4] Univ Sains Malaysia, Sch Comp Sci, George Town 11800, Malaysia
来源：
APPLIED SOFT COMPUTING | 2016年 / 49卷
关键词：
Krill Herd algorithm; Swarm intelligence algorithms; Nature-inspired algorithms; Metaheuristics; OPTIMAL LOCATION; OPTIMIZATION;
D O I：
10.1016/j.asoc.2016.08.041
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：437 / 446
页数：10
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