Title :
On modeling and discrete particle swarm optimization for task assignment of cooperating UAVs
Author :
Na, Gao ; Zhi-hong, Qu ; Xiang-jun, Li
Author_Institution :
Railway Prof. Technol. Coll., Xi´´an, China
Abstract :
Task assignment of cooperating multi Unmanned Aerial Vehicles (UAVs) is a hot problem recently. Considering the main factors include the attack order of UAV, kill probability, survival probability and attack path, the target assignment model in different stages for multi-UAVs is established. Discrete particle swarm optimization (DPSO) algorithm is introduced to solve the complex task assignment problem. Each particle´s position is expressed in two multi-dimension vectors and the vectors evolve in different manner synchronously. The simulation results show that this method is satisfying.
Keywords :
aircraft control; cooperative systems; military aircraft; mobile robots; particle swarm optimisation; probability; remotely operated vehicles; UAV; complex task assignment problem; cooperating multiunmanned aerial vehicle; discrete particle swarm optimization; multidimension vector; particle position; survival probability; task assignment modeling; Equations; Mathematical model; Optimization; Particle swarm optimization; Resource management; Unmanned aerial vehicles; Weapons; Cooperation; Discrete particle swarm optimization algorithm(DPSO); Task assignment; Unmanned Aerial Vehicle(UAV);
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968338
