DocumentCode
2798639
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
Volume
1
fYear
2009
fDate
Nov. 30 2009-Dec. 1 2009
Firstpage
142
Lastpage
144
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3888-4
Type
conf
DOI
10.1109/KAM.2009.202
Filename
5362261
Link To Document