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
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;
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
DOI :
10.1109/DBTA.2010.5658944
