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

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@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