Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming

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@Article{rodriguez-vazquez:its,

• author = "Katya Rodriguez-Vazquez and Carlos M. Fonseca and Peter J. Fleming",
• title = "Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming",
• journal = "IEEE Transactions on Systems, Man and Cybernetics, Part A",
• volume = "34",
• number = "4",
• month = jul,
• year = "2004",
• pages = "531--545",
• keywords = "genetic algorithms, genetic programming, identification, mathematical programming, nonlinear systems, polynomials evolutionary algorithm, multiobjective genetic programming, nonlinear dynamic systems, nonlinear polynomial dynamic, system identification",
• ISSN = "1083-4427",
• DOI = "doi:10.1109/TSMCA.2004.826299",
• abstract = "A method for identifying the structure of nonlinear polynomial dynamic models is presented. This approach uses an evolutionary algorithm, genetic programming, in a multiobjective fashion to generate global models which describe the dynamic behaviour of the nonlinear system under investigation. The validation stage of system identification is simultaneously evaluated using the multiobjective tool, in order to direct the identification process to a set of global models of the system.",

}

Genetic Programming entries for Katya Rodriguez-Vazquez Carlos M Fonseca Peter J Fleming

Citations