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- W2073442062 abstract "This paper proposed some improvement measures of Genetic Programming (GP) in data fitting, including developed new ways of crossover and mutation, improved the calculation efficiency greatly, and avoided the problem of parse tree expansion. The new adopted mutation method improved the problem of constant modification to some extent. Numerical simulation obtained a considerable good fitting and prediction precision." @default.
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- W2073442062 date "2011-02-01" @default.
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- W2073442062 title "Some Improvements of Genetic Programming in Data Fitting" @default.
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- W2073442062 doi "https://doi.org/10.4028/www.scientific.net/amr.201-203.2536" @default.
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