Title :
A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map
Author :
He, Yaoyao ; Zhou, Jianzhong ; Li, Chaoshun ; Yang, Junjie ; Li, Qingqing
Author_Institution :
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
The target of this paper is to enhance the precision of existent chaotic particle swarm optimization algorithm in the nonlinear optimizations problems. For this aim, a one-dimensional chaotic search pattern using improved tent map is introduced. This new pattern can also be combined with particle swarm optimization algorithm. The novel hybrid algorithm is validated for several test functions and the experimental results demonstrate its efficiency and precision to obtain global optimal solution.
Keywords :
chaos; nonlinear programming; particle swarm optimisation; search problems; 1D chaotic search pattern; chaotic particle swarm optimization algorithm; nonlinear optimizations problems; tent map; Application software; Chaos; Helium; Hydroelectric power generation; Logistics; Mathematics; Particle swarm optimization; Physics computing; Stochastic processes; Testing;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.588
