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
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;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.9
