TY - GEN
T1 - Generation of Cooperative Paths with Equal Length Using Filter Particle Swarm Optimization
AU - Zhou, Jian
AU - Liu, Dawei
AU - Sun, Jing
AU - Wang, Zhu
AU - Long, Teng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - To achieve simultaneous arrival of multiple unmanned aerial vehicles (UAVs), a filter particle swarm optimization (PSO) based cooperative path planning method is proposed. Under the assumption that the UAVs share the same speed, generation of cooperative paths with equal length is formulated as a constrained optimization problem. Then, the filter PSO method which can avoid using penalty functions is introduced to search for the cooperative paths. Numerical simulations demonstrate that filter PSO is comparable with penalty PSO in terms of optimality but is more robust than the penalty method in finding feasible paths.
AB - To achieve simultaneous arrival of multiple unmanned aerial vehicles (UAVs), a filter particle swarm optimization (PSO) based cooperative path planning method is proposed. Under the assumption that the UAVs share the same speed, generation of cooperative paths with equal length is formulated as a constrained optimization problem. Then, the filter PSO method which can avoid using penalty functions is introduced to search for the cooperative paths. Numerical simulations demonstrate that filter PSO is comparable with penalty PSO in terms of optimality but is more robust than the penalty method in finding feasible paths.
UR - http://www.scopus.com/inward/record.url?scp=85082470689&partnerID=8YFLogxK
U2 - 10.1109/GNCC42960.2018.9018939
DO - 10.1109/GNCC42960.2018.9018939
M3 - Conference contribution
AN - SCOPUS:85082470689
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -