计算机工程与应用 ›› 2019, Vol. 55 ›› Issue (15): 1-12.DOI: 10.3778/j.issn.1002-8331.1903-0208

• 热点与综述 • 上一篇    下一篇

蝙蝠算法研究及应用综述

许德刚,赵萍   

  1. 1.河南工业大学 信息科学与工程学院,郑州 450001
    2.粮食信息处理与控制教育部重点实验室,郑州 450001
  • 出版日期:2019-08-01 发布日期:2019-07-26

Literature Survey on Research and Application of Bat Algorithm

XU Degang, ZHAO Ping   

  1. 1.School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
    2.Key Laboratory of Grain Information Processing and Control, Ministry of Education, Zhengzhou 450001, China
  • Online:2019-08-01 Published:2019-07-26

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

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.

Key words: bat algorithm, swarm intelligence, improvement strategy, optimization, fusion algorithm