A new multiobjective genetic programming approach using compromise distance ranking for automated design of nonlinear system design

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@Article{journals/jifs/WeiJW16,

• author = "Shuang Wei and Defu Jiang and Feng Wang",
• title = "A new multiobjective genetic programming approach using compromise distance ranking for automated design of nonlinear system design",
• journal = "Journal of Intelligent and Fuzzy Systems",
• year = "2016",
• number = "1",
• volume = "31",
• keywords = "genetic algorithms, genetic programming, Multiobjective genetic programming (GP), compromise distance, nonlinear system design, evolutionary multiobjective optimization (EMO)",
• bibdate = "2017-05-28",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/jifs/jifs31.html#WeiJW16",
• pages = "601--611",
• DOI = "doi:10.3233/IFS-162174",

}

Genetic Programming entries for Shuang Wei Defu Jiang Feng Wang

Citations