Open 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 year - 2020
Publication title -
journal of physics conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/3/032072
Subject(s) - coding (social sciences) , artificial bee colony algorithm , computer science , base (topology) , drone , optimization algorithm , algorithm , artificial intelligence , real time computing , engineering , mathematical optimization , mathematics , mathematical analysis , statistics , biology , genetics
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.