文献类型：期刊文献

英文题名：Fuzzy multi-objective evolutionary algorithm based structure identification of polynomial systems

作者：Jiang, Qiang[1]; Zhang, Jianhua[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2014

起止页码：6571

外文期刊名：Proceedings of the 33rd Chinese Control Conference, CCC 2014

收录：EI(收录号：20144300119650)

语种：英文

外文关键词：Genetic algorithms - Pareto principle - Polynomials - Structural optimization - Structure (composition)

摘要：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. ? 2014 TCCT, CAA.