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