Designing fuzzy rule base using hybrid elite genetic algorithm and tabu search: Application for control and modeling

2013 ◽  
Vol 10 (4) ◽  
pp. 205-214 ◽  
Author(s):  
N. Talbi ◽  
K. Belarbi
Keyword(s):  
Genetic Algorithm ◽  
Tabu Search ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Fuzzy Rule Base

An Application of T-S Model and Phase Based Quantum Genetic Algorithm in Oilfield

2014 ◽  
Vol 513-517 ◽  
pp. 1392-1397
Author(s):  
Shu Xia Liu ◽  
Yong Yang ◽  
Dian Bao Mu ◽  
Pan Chi Li
Keyword(s):  
Genetic Algorithm ◽  
Prediction Model ◽  
Influencing Factors ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Quantum Genetic Algorithm ◽  
Fuzzy Rule Base ◽  
Water Cut ◽  
S Model ◽  
Oilfield Development

Based on the learning and integrated application of the T-S modeling method and Phase based Quantum Genetic Algorithm (PQGA), this article aims to provide a new and effective method to fulfill the actual demand of the oilfield development and production. First, according to the forecast indicators and the influencing factors, establish the fuzzy rule base, then according to the fuzzy rule base, establish the T-S prediction model, with improved quantum genetic algorithm to optimize the parameters of the T-S model, through the application of the prediction of the water-cut in oilfield, we prove that the method is effective.

Fuzzy Rule Base Design With Probabilistic Weights

2016 ◽  
Author(s):  
Leonardo G. Melo ◽  
Luís A. Lucas ◽  
Myriam R. Delgado
Keyword(s):  
Fuzzy Rule ◽  
Rule Base ◽  
Fuzzy Rule Base ◽  
Base Design
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