Title :
Application of artificial fish school algorithm in UCAV path planning
Author :
Ma, Qianzhi ; Lei, Xiujuan
Author_Institution :
Coll. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China
Abstract :
The path planning method based on artificial fish school algorithm (AFSA) was proposed to solve unmanned combat aerial vehicle (UCAV) path planning problem under the 2-D radar threats environment. According to the path planning requirements, the threat detection and artificial fish coding method were designed in detail. Besides, the method of perceiving threats was applied for advancing the feasibility of the path. A comparison of the results was made by WPSO, CFPSO and AFSA, which showed that the method we proposed in this paper was effective. AFSA was much more suitable for solving this kind of problem.
Keywords :
military aircraft; mobile robots; particle swarm optimisation; path planning; remotely operated vehicles; 2D radar threats environment; AFSA; CFPSO; WPSO; artificial fish coding method; artificial fish school algorithm; threat detection; unmanned combat aerial vehicle path planning problem; Automation; artificial fish swarm algorithm; path planning; unmanned combat aerial vehicle (UCAV);
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645185
