open-access-imgOpen AccessMission planning of multi base UAV Based on improved artificial bee colony algorithm
Author(s)
Xiaomeng Zhang,
Yongjiang Hu,
Wenguang Li,
Mingxin Yu,
Jianyin Wang
Publication year2020
Publication title
journal of physics
Resource typeJournals
Aiming at the constraint that the take-off and landing position of Unmanned Aerial Vehicle (UAV) varies from time in maritime operations, a cooperative attack model of multi-base UAV is established. An improved artificial bee colony algorithm based on coding operation pool is proposed, which retains the basic idea of standard artificial bee colony algorithm, It draws lessons from RNA coding operation and introduces coding operation pool to ensure that the algorithm has better global search ability. The simulation results show that the cooperative attack model of multi-base and multi-UAV complies with the characteristics of modern maritime unmanned combat missions, and the proposed algorithm has strong optimization efficiency and optimization ability.
Subject(s)algorithm , artificial bee colony algorithm , artificial intelligence , base (topology) , biology , coding (social sciences) , computer science , drone , engineering , genetics , mathematical analysis , mathematical optimization , mathematics , optimization algorithm , real time computing , statistics
Language(s)English
SCImago Journal Rank0.21
H-Index85
eISSN1742-6596
pISSN1742-6588
DOI10.1088/1742-6596/1550/3/032072

Seeing content that should not be on Zendy? Contact us.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here