TY - JOUR
T1 - Evolution-algorithm-based unmanned aerial vehicles path planning in complex environment
AU - Liu, Xiaolei
AU - Du, Xiaojiang
AU - Zhang, Xiaosong
AU - Zhu, Qingxin
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2019
PY - 2019/12
Y1 - 2019/12
N2 - With the wide application of Unmanned Aerial Vehicles (UAVs) in production and life, more and more attention has been paid to the autonomous track planning of UAVs. When UAV path planning algorithm is dealing with flying in an unknown complex environment, there are some problems, such as inability to dynamically plan the track and slow speed to calculate the path. This paper proposes a dynamic path planning based on an improved evolutionary optimization algorithm. The experimental results show that the evolutionary optimization algorithm based on improved t-distribution can effectively deal with the problems of high computational complexity and low search efficiency encountered in UAV dynamic track planning. It has strong robustness and can dynamically plan the appropriate track.
AB - With the wide application of Unmanned Aerial Vehicles (UAVs) in production and life, more and more attention has been paid to the autonomous track planning of UAVs. When UAV path planning algorithm is dealing with flying in an unknown complex environment, there are some problems, such as inability to dynamically plan the track and slow speed to calculate the path. This paper proposes a dynamic path planning based on an improved evolutionary optimization algorithm. The experimental results show that the evolutionary optimization algorithm based on improved t-distribution can effectively deal with the problems of high computational complexity and low search efficiency encountered in UAV dynamic track planning. It has strong robustness and can dynamically plan the appropriate track.
KW - Dynamic planning
KW - Evolution algorithm
KW - Path planning
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85073569299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073569299&partnerID=8YFLogxK
U2 - 10.1016/j.compeleceng.2019.106493
DO - 10.1016/j.compeleceng.2019.106493
M3 - Article
AN - SCOPUS:85073569299
SN - 0045-7906
VL - 80
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
M1 - 106493
ER -