DocumentCode
3106690
Title
Using Hungry Particle Swarm Optimization to Direct Orbits of Chaotic Systems
Author
Xingjuan Cai ; Cui, Zhihua
Author_Institution
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
7
Lastpage
10
Abstract
Hungry particle swarm optimization (HPSO) is a new novel variant of particle swarm optimization that incorporating the living pressure for each particle. In HPSO, total particles have three different movement motions according to different living pressures. In this paper, HPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with the standard version of particle swarm optimization.
Keywords
particle swarm optimisation; HPSO; chaotic system; direct orbit; hungry particle swarm optimization; Birds; Chaos; Equations; Laboratories; Optimization; Orbits; Particle swarm optimization; hungry particle swarm optimization; living pressure; orbits of chaotic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.9
Filename
5636860
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