TY - GEN
T1 - Trajectories planning for multiple UAVs by the cooperative and competitive PSO algorithm
AU - Liu, Jun
AU - Shi, Tianyun
AU - Li, Ping
AU - Ren, Xuemei
AU - Ma, Hongbin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/26
Y1 - 2015/8/26
N2 - By the cooperative and competitive PSO algorithm, the goal of this study is to provide the cooperative trajectories of multiple UAVs in the three dimensional space. To effectively reduce the dimension of this problem, the optimization process is mainly divided into two substages to reduce the difficulty of selecting the weights of objectives and constraints in the considered objective function. Considering several objectives and constraints, the cooperative trajectories in the first substage are given by the cooperative and competitive PSO algorithm in the two dimensional space. In the second substage, the altitude of cooperative trajectories is adjusted according to the considered objectives and constraints. In the complicated scenarios, simulation results demonstrate the effectiveness and the robustness of the cooperative and competitive PSO algorithm, which possibly provides one guideline for optimal cooperative planning trajectories of multiple UAVs in the three-dimensional space.
AB - By the cooperative and competitive PSO algorithm, the goal of this study is to provide the cooperative trajectories of multiple UAVs in the three dimensional space. To effectively reduce the dimension of this problem, the optimization process is mainly divided into two substages to reduce the difficulty of selecting the weights of objectives and constraints in the considered objective function. Considering several objectives and constraints, the cooperative trajectories in the first substage are given by the cooperative and competitive PSO algorithm in the two dimensional space. In the second substage, the altitude of cooperative trajectories is adjusted according to the considered objectives and constraints. In the complicated scenarios, simulation results demonstrate the effectiveness and the robustness of the cooperative and competitive PSO algorithm, which possibly provides one guideline for optimal cooperative planning trajectories of multiple UAVs in the three-dimensional space.
UR - http://www.scopus.com/inward/record.url?scp=84951147937&partnerID=8YFLogxK
U2 - 10.1109/IVS.2015.7225671
DO - 10.1109/IVS.2015.7225671
M3 - Conference contribution
AN - SCOPUS:84951147937
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 107
EP - 114
BT - IV 2015 - 2015 IEEE Intelligent Vehicles Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Intelligent Vehicles Symposium, IV 2015
Y2 - 28 June 2015 through 1 July 2015
ER -