Title
An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing
Abstract
In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule base from the data. Based on this model, a back-propagation algorithm with momentum terms is used to refine the initial fuzzy model. The refined model is then used to seed the initial population of an immune inspired multi-objective optimization algorithm in the third stage to obtain a set of fuzzy models with improved transparency. To tackle the problem of simultaneously optimizing the structure and parameters, a variable length coding scheme is adopted to improve the efficiency of the search. The proposed modeling approach is applied to a real data set from the steel industry. Results show that the proposed approach is capable of eliciting not only accurate but also transparent fuzzy models.
Year
DOI
Venue
2008
10.1109/GRC.2008.4664729
GrC
Keywords
Field
DocType
multiobjective optimization algorithm,optimisation,evolutionary computation,fuzzy rule base,evolutionary based clustering algorithm,fuzzy predictive modeling,backpropagation algorithm,engineering materials processing,backpropagation,steel industry,fuzzy systems,immune algorithm,variable length coding,transparent fuzzy model,multiobjective fuzzy modeling,momentum terms,data models,modeling,accuracy,fuzzy sets,optimization,prediction model,variable length code,multi objective optimization,encoding,clustering algorithms
Data modeling,Computer science,Multi-objective optimization,Fuzzy set,Artificial intelligence,Fuzzy control system,Mathematical optimization,Neuro-fuzzy,Defuzzification,Fuzzy logic,Algorithm,Machine learning,Fuzzy rule
Conference
ISBN
Citations 
PageRank 
978-1-4244-2513-6
4
0.43
References 
Authors
5
2
Name
Order
Citations
PageRank
Jun Chen1161.96
Mahdi Mahfouf223533.17