NDLI: Fuzzy multi-objective evolutionary algorithm based structure identification of polynomial systems

Content Provider	IEEE Xplore Digital Library
Author	Jiang Qiang Zhang Jianhua
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China (Jiang Qiang; Zhang Jianhua)
Abstract	This paper proposes a novel method based fuzzy multi-objective evolutionary algorithm for the identification of the polynomial systems. First, choose the number of first order monomials using correlation-based orthogonal forward search algorithm. Then according to the correlation coefficient of monomial terms and output, the contribution of each monomial term to system output to narrow the scope of the candidate monomials. At last apply the fuzzy multi-objective evolutionary algorithm to get the identification results. The results show that compared with the nondominated sorting genetic algorithm-II (NSGA-II) and Akaike information criterion (AIC), the proposed method can get only one solution. At the same time, it can get higher accuracy for identification of the system structure.
Starting Page	6571
Ending Page	6576
File Size	321944
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896077
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Information science Evolutionary computation Educational institutions Polynomial System Structure identification Polynomials Multi-objective optimization Fuzzy Pareto optimality Electronic mail Sorting Genetic algorithms
Content Type	Text
Resource Type	Article

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