DocumentCode :
3444726
Title :
The direction of family particle swarm optimization
Author :
An, Zhenzhou ; Shi, Xinling ; Zhang, Junhua
Author_Institution :
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
Volume :
3
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
49
Lastpage :
53
Abstract :
In our previous study, the family particle swarm optimization (FPSO) was proposed. In this study, we investigate the direction of the FPSO. To improve particles´ abilities of moving to the global optimization position and to accelerate the convergence of FPSO, we defined the direction coefficient and proposed the directional FPSO (d-FPSO). In a family, the flight of a particle referred to the flying directions of other particles. Simulations for six benchmark functions demonstrated that with the proposed direction coefficient particles had stronger intelligence and the convergence speed was increased. Therefore, the directions of particles had very important meaning of guidance.
Keywords :
convergence of numerical methods; multi-agent systems; particle swarm optimisation; vectors; coefficient particle; direction coefficient; family particle swarm optimization; flying direction; global optimization; Particle swarm optimization(PSO); direction; family; vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658555
Filename :
5658555
Link To Document :
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