Swarming UAVs mission design strategy

被引：0
|
作者：
Lin, Kuo-Chi [1 ]
机构：
[1] Univ Cent Florida, Inst Simulat & Training, Orlando, FL 32826 USA
来源：
EVOLUTIONARY AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS | 2007年 / 6563卷
关键词：
swarming; UAV; genetic algorithm;
D O I：
10.1117/12.724854
中图分类号：
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号：
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要：
This paper uses a behavioral hierarchy approach to reduce the mission solution space and make the mission design easier. A UAV behavioral hierarchy is suggested, which is derived from three levels of behaviors: basic, individual and group. The individual UAV behavior is a combination of basic, lower level swarming behaviors with priorities. Mission design can be simplified by picking the right combination of individual swarming behaviors, which will emerge the needed group behaviors. Genetic Algorithm is used in both lower-level basic behavior design and mission design.
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页数：5
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