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 :
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