Open AccessUAV cooperative attack and route planning based on DPSO algorithm
Author(s) -
Tan Tianhan,
Kun Wang,
Wang Qishuang,
Bo Fu,
Wang Gang,
Yongsheng Li
Publication year - 2019
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 - 10.1088/1742-6596/1345/4/042040
Subject(s) - computer science , mathematical optimization , swarm behaviour , particle swarm optimization , path (computing) , motion planning , algorithm , artificial intelligence , mathematics , computer network , robot
For UAV cooperative attack and route planning problem, a cooperative attack allocation model is established in fully considering the attack cost and attack revenue. Considering the threat cost and path distance cost, a flight path planning model is also established. An improved particle swarm optimization algorithm called DPSO is proposed by discrete space mapping, which can reduce redundant search and speed up search. Based on the model and optimization algorithm, reasonable cooperative attack target assignment and route planning are worked out, and the optimal performance is achieved.