Co-evolutionary genetic optimization based ordinary differential equations identification for multi-input multi-output chaotic systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Shi-Liang:2012:CCC,

• author = "Shi-Liang Zhou and Yu-Yan Liu",
• booktitle = "31st Chinese Control Conference (CCC 2012)",
• title = "Co-evolutionary genetic optimization based ordinary differential equations identification for multi-input multi-output chaotic systems",
• year = "2012",
• pages = "1745--1751",
• month = "25-27 " # jul,
• address = "Hefei, China",
• note = "in chinese",
• URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6390207",
• isbn13 = "978-1-4673-2581-3",
• size = "7 pages",
• abstract = "A Co-evolutionary algorithm based ordinary differential equations of multi input multi output continue chaos system identification is proposed. Structures of ODEs are optimised using GP (Genetic Programming), and corresponding parameters of ODEs are tuning via GA. Fitness degrees of these individuals which represent suitable structure of ODEs are high than others, because their parameters are optimised by GA. Both structures and corresponding parameters will be evolved using the proposed coevolution GP-GA method. Population initialisation, genetic operator, fitness calculation and evolution scheme of multi-population GP are given. Comparisons are made among the proposed method, RBF neural network based method and fuzzy clustering based method, simulation results show the efficiency of the method.",
• keywords = "genetic algorithms, genetic programming, MIMO systems, chaos, differential equations, identification, nonlinear systems, GP-GA method, ODE parameters, coevolutionary algorithm, coevolutionary genetic optimisation, evolution scheme, fitness calculation, fitness degrees, genetic operator, multiple-input multiple-output chaotic systems, multipopulation GP, ordinary differential equation identification, population initialization, system identification, Chaos, Differential equations, Educational institutions, Electronic mail, Power systems, Co-evolutionary algorithm, chaotic system, multi-population, ordinary differential equations",
• ISSN = "1934-1768",
• notes = "Also known as \cite{6390207}",

}

Genetic Programming entries for Shi-Liang Zhou Yu-Yan Liu

Citations