DocumentCode :
2336021
Title :
Research and implementation of group animation path planning based on Firefly algorithm
Author :
Shijie, Xu ; Shuming, Jiang ; Jianfeng, Zhang ; Zhiqiang, Wei ; Jian, Li ; Shuai, Wang
Author_Institution :
Inf. Res. Inst. of Shandong, Jinan, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
129
Lastpage :
131
Abstract :
Based on the standard FA easily traps in a local optimum, this paper presents a method that the current particle choose the one in its visual field which has the best fitness as the global best particle. The experiment shows the advantaged algorithm has a better global search ability. The paper uses the advantaged FA into the group animation, the particle has good artificial intelligence performance, and can simulate group behavior in an actual way.
Keywords :
artificial intelligence; computer animation; optimisation; path planning; search problems; artificial intelligence performance; firefly algorithm; global search ability; group animation path planning; group behavior simulation; local optimum; visual field; Algorithm design and analysis; Animation; Fires; Optimization; Robots; Solid modeling; Standards; Firefly Algorithm; group animation; visual field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219138
Filename :
6219138
Link To Document :
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