DocumentCode
401708
Title
Particle swarm optimization based hybrid intelligent algorithm
Author
Zhang, Qian-Li ; Li, Xing ; Tran, Quanganh
Author_Institution
CERNET Center, Tsinghua Univ., Beijing, China
Volume
3
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1648
Abstract
The hybrid intelligent algorithm is often used to solve stochastic programming problems. In this paper, we propose the particle swarm optimization (PSO) based hybrid intelligent algorithm. Preliminary experiment results suggest that this algorithm is feasible.
Keywords
decision making; search problems; stochastic programming; decision-making problem; hybrid intelligent algorithm; neural network training; particle swarm optimization; stochastic programming problems; Algorithm design and analysis; Genetic algorithms; Intelligent networks; Mathematical model; Mathematical programming; Neural networks; Particle swarm optimization; Probability distribution; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259760
Filename
1259760
Link To Document