Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (6): 22-29.DOI: 10.3778/j.issn.1002-8331.2011-0174

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Research and Analysis on Progress of Fruit Fly Optimization Algorithm

ZHANG Shuiping, WANG Lina   

  1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China
  • Online:2021-03-15 Published:2021-03-12



  1. 江西理工大学 信息工程学院,江西 赣州 341000


As an emerging swarm intelligence optimization algorithm, the fruit fly optimization algorithm has the characteristics of simple structure, fewer adjustment parameters, strong operability and fast global optimization, it is easier to understand and implement than other intelligent algorithms. Therefore, it has received extensive attention and research since it has been proposed. The design ideas of fruit fly optimization algorithm is summarized, focusing on the existing improvement methods and related applications, this paper analyzes the research progress of fruit fly optimization algorithm, including the improvement of candidate solution generation mechanism, multi-group collaborative search, flight strategy, etc., and applications in complex function optimization, parameter optimization, scheduling and logistics issues, etc. Finally, it puts forward the research direction and content of fruit fly optimization algorithm worthy of attention in the future.

Key words: fruit fly optimization algorithm, flight strategy, parameter optimization



关键词: 果蝇优化算法, 飞行策略, 参数优化