Bat algorithm: literature review and applications

被引：612
作者：
Yang, Xin-She [1 ]
He, Xingshi [2 ]
机构：
[1] Middlesex Univ, Sch Sci & Technol, London NW4 4BT, England
[2] Xian Polytech Univ, Sch Sci, Xian 710048, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION | 2013年 / 5卷 / 03期
关键词：
algorithm; bat algorithm; cuckoo search; firefly algorithm; eagle strategy; nature-inspired algorithm; optimisation; metaheuristics; PARTICLE SWARM OPTIMIZATION; EAGLE STRATEGY; WALK;
D O I：
10.1504/IJBIC.2013.055093
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last three years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarised briefly here. In addition, we also discuss the essence of an algorithm and the links between algorithms and self-organisation. Further research topics are also discussed.
引用
收藏
页码：141 / +
页数：11
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