Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (15): 30-41.DOI: 10.3778/j.issn.1002-8331.2104-0279

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Summary of Research and Application of Flower Pollination Algorithm

WU Guangfu, CHEN Ying   

  1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China
  • Online:2021-08-01 Published:2021-07-26



  1. 江西理工大学 信息工程学院,江西 赣州 341000


As a new meta-heuristic swarm intelligence optimization algorithm, the flower pollination algorithm has the characteristics of simple structure, strong robustness, few control parameters, good global optimization performance and high execution efficiency. Its characteristics and advantages have attracted domestic and foreign many scholars have carried out research on it. It briefly explaines the design ideas of the flower pollination algorithm, and analyzes the existing improvements to the algorithm’s initial solution quality, population diversity and search capabilities, as well as the algorithm’s performance in various fields such as classification, positioning, path planning, and economic regulation application. It analyzes the direction and content of the flower pollination algorithm that can be further studied in the future.

Key words: flower pollination algorithm, parameter optimization, search method, hybrid algorithm



关键词: 花授粉算法, 参数优化, 搜索方式, 混合算法