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蝙蝠算法研究及应用综述
引用本文:许德刚,赵萍. 蝙蝠算法研究及应用综述[J]. 计算机工程与应用, 2019, 55(15): 1-12. DOI: 10.3778/j.issn.1002-8331.1903-0208
作者姓名:许德刚  赵萍
作者单位:河南工业大学 信息科学与工程学院,郑州 450001;粮食信息处理与控制教育部重点实验室,郑州 450001;河南工业大学 信息科学与工程学院,郑州,450001
摘    要:蝙蝠算法(BA)是一种受蝙蝠利用超声波回声定位觅食行为启发的新型群体智能优化算法。介绍了蝙蝠算法的基本原理,分析了性能影响因素,论述了算法的改进策略,并阐述了蝙蝠算法在数据挖掘、图像处理、组合优化等方面的应用与发展。最后结合蝙蝠算法的性能特点和应用方向,对蝙蝠算法未来的研究发展方向进行了展望。

关 键 词:蝙蝠算法  群体智能  改进策略  优化  算法融合

Literature Survey on Research and Application of Bat Algorithm
XU Degang,ZHAO Ping. Literature Survey on Research and Application of Bat Algorithm[J]. Computer Engineering and Applications, 2019, 55(15): 1-12. DOI: 10.3778/j.issn.1002-8331.1903-0208
Authors:XU Degang  ZHAO Ping
Affiliation:1.School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China2.Key Laboratory of Grain Information Processing and Control, Ministry of Education, Zhengzhou 450001, China
Abstract:Bat Algorithm(BA) is a novel swarm intelligence optimization algorithm inspired by bats using ultrasonic echolocation foraging behavior. The paper introduces the basic principles of the bat algorithm, analyzes the performance influencing factors, discusses the improvement strategy of BA, and expounds the application and development of the bat algorithm in data mining, image processing, combinatorial optimization, etc. Finally, the future research direction of bat algorithm is prospected by combining the performance characteristics and application directions of the bat algorithm.
Keywords:bat algorithm  swarm intelligence  improvement strategy  optimization  fusion algorithm  
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