Application of artificial fish school algorithm in UCAV path planning
Qianzhi Ma, Xiujuan Lei · 2010
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.