A comparison of fitting growth models with a genetic algorithm and nonlinear regression
نویسندگان
چکیده
منابع مشابه
A comparison of fitting growth models with a genetic algorithm and nonlinear regression.
A genetic algorithm (GA), an optimization procedure based on the theory of evolution, was compared with nonlinear regression for the ability of the 2 algorithms to fit the coefficients of poultry growth models. It was hypothesized that the nonlinear approach of using GA to define the parameters of growth equations would better fit the growth equations than the use of nonlinear regression. Two s...
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ژورنال
عنوان ژورنال: Poultry Science
سال: 2005
ISSN: 0032-5791
DOI: 10.1093/ps/84.3.494