Title :
Template for P discrete particle swarm optimization algorithm for multi-UCAV cooperation mission assignment
Author :
Ye Wen ; Pan Changpeng ; Fan Hongda
Author_Institution :
Dept. of Ordnance Sci. & Technol., Naval Aeronaut. Eng. Acad., Yantai, China
Abstract :
A discrete particle swarm optimization (DPSO) algorithm was put forward for multi-UCAV cooperation mission assignment problem. In the algorithm, new code for particle and new update strategy for the position and speed of particle were applied so as to make the HDPSO algorithm more suitable for multi-UCAV cooperation mission assignment problem. Aiming at the shortcoming of premature and poor resulted from pure PSO, the DPSO algorithm took full advantage of the complementary strengths of particle swarm optimization algorithm, and the algorithm could solve multi-UCAV cooperation mission assignment effectively. The simulation results show that the DPSO algorithm could find the better assignment scheme fleetly, and the HDPSO algorithm is simple and flexible.
Keywords :
aerospace control; biocomputing; discrete systems; mobile robots; multi-robot systems; particle swarm optimisation; P discrete particle swarm optimization; multiUCAV cooperation mission assignment; task assignment; Particle swarm optimization; discrete particle swarm optimization; multi-UCAV cooperation; task assignment;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
DOI :
10.1109/CCDC.2009.5192419