location:Home > 2019 VOL.2 Apr No.2 > Research on Optimal Selection Model of Multiple UAV Cooperative Route Based on Artificial Intelligence

2019 VOL.2 Apr No.2

  • Title: Research on Optimal Selection Model of Multiple UAV Cooperative Route Based on Artificial Intelligence
  • Name: Michael Brook
  • Company: Monash University, Melbourne, Australia
  • Abstract:

    The traditional Unmanned Aerial Vehicle(UAV) system route selection method has a poor planning effect. Based on the artificial intelligence technology, the new multiple UAV collaborative route is selected. Using the stratified planning idea, the selection of the system route is divided into the route planning layer, the collaborative planning layer and the route smoothing layer. The selection of multiple UAV cooperative routes is partially divided to optimize the selection of multiple UAV coordinated routes. The experiment proves that the designed multiple UAV collaborative route optimal selection model has real validity.

  • Keyword: UAV;collaborative routes;optimal selection
  • DOI: 10.12250/jpciams2019020118
  • Citation form: Michael Brook.Research on Optimal Selection Model of Multiple UAV Cooperative Route Based on Artificial Intelligence[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 31-35.
Reference:

[1]Zhu kunlei, huang jiajin. Recommendation algorithm for collaborative filtering graph model based on belief network [J]. Pattern recognition and artificial intelligence, 2016, 29(2):171-176.

[2]Nie fen. Development and research of computer off-line programming system based on artificial intelligence [J]. Computer programming skills and maintenance, 20187(1):43-44.

[3]Lu shangbin, liu yifu. Media intelligence and intelligent media [J]. Contemporary communication, 2016,17(4):4-8.

[4]Wei donghui, wang changqing. Application and prospect of artificial intelligence in air-to-air missiles [J]. Air-to-air missiles, 2017,7(1):3-9.

[5]Liu zhong. Research on optimization and simulation of keyword feature retrieval and location optimization in mass books [J]. Computer simulation, 2016, 33(9):422-425

Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16