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

fYear

2010

fDate

23-26 Sept. 2010

Firstpage

555

Lastpage

559

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);

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BICTA.2010.5645185

Filename

5645185