Title :
Reduction Methods of Attributes Based on Improved BPSO
Author :
Pan, Guanyu ; Liu, Dayou ; Yan, Hui
Author_Institution :
Dept. of Inf. Eng., JiLin Bus. & Technol. Coll., Changchun, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
This paper proposed the binary particle swam optimization method based on simulated annealing and weak population mutation. We applied this method to casing damage forecast of oil field. Using our new algorithm, attributes reduce to 12 from original 62. It becomes possible to forecast using these 12 attributes as the inputs.
Keywords :
particle swarm optimisation; petroleum industry; simulated annealing; attribute reduction method; binary particle swam optimization method; improved BPSO; oil field forecasting; simulated annealing; weak population mutation; Computational modeling; Computer science; Convergence; Decision making; Genetic algorithms; Knowledge acquisition; Knowledge engineering; Optimization methods; Particle swarm optimization; Simulated annealing; Artificial Intelligence; BPSO; attribute reduction; data mining; rough set;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.202
