Title
Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir.
Abstract
The method of rule extraction based on differential evolution (DE-Rule) is proposed in this paper. The style of rule is IF-THEN. Connection word is AND in the antecedent of rule. The consequence of rule is class label. The above rule is encoded and expressed to individual in population of differential evolution. Then the population is iterated through differential mutation and binomial crossover. Optimal rule set is obtained after decoding the optimal individual. Finally, DE-Rule, RS-Rule and ANN-GA-Cascades-Rule are used to recognize oil reservoir (dry layer, water layer, inferiority layer and oil layer) in the Jianghan oil field. Data of well oilsk81 is training data and data of well oilsk83 is testing data. The results show that performance of accuracy and interpretability in DE-Rule is the best.
Year
DOI
Venue
2013
null
JDIM
Keywords
Field
DocType
differential evolution,oil reservoir,rule extraction
Population,Interpretability,Data mining,Crossover,Oil field,Computer science,Algorithm,Differential evolution,Test data,Decoding methods,Iterated function
Journal
Volume
Issue
ISSN
11
6
null
Citations 
PageRank 
References 
1
0.35
8
Authors
5
Name
Order
Citations
PageRank
Jin-ling Li1192.35
Haixiang Guo27110.66
Kejun Zhu317722.96
Deyun Wang410.35
Jinglu Hu571196.45