DocumentCode
3451557
Title
Particle Swarm Optimization Applied to a Stochastic Optimization Problem
Author
He, Fanguo ; Liu, Chunzhao
Author_Institution
Coll. of Math. & Inf. Sci., Huanggang Normal Univ., Huanggang, China
fYear
2010
fDate
27-28 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
This paper investigates an uncertainty optimization problem with stochastic variables. The method of stochastic simulation is used to deal with the uncertain functions. For solving this stochastic model efficiently, a hybrid particle swarm optimization (PSO) algorithm integrated neural network is formulated. Finally, some numerical examples are presented to illustrate the effectiveness of the proposed algorithm.
Keywords
neural nets; particle swarm optimisation; stochastic processes; uncertainty handling; neural network; particle swarm optimization; stochastic optimization problem; stochastic simulation; stochastic variables; uncertainty optimization; Artificial neural networks; Mathematical model; Optimization; Particle swarm optimization; Programming; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6975-8
Electronic_ISBN
978-1-4244-6977-2
Type
conf
DOI
10.1109/DBTA.2010.5658944
Filename
5658944
Link To Document