Authors have developed a technique base on genetic algorithm (GA), which is mainly based on ideas and techniques from genetic and evolutionary theory. To improve the efficiency of the data fitting, some techniques to ...
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Authors have developed a technique base on genetic algorithm (GA), which is mainly based on ideas and techniques from genetic and evolutionary theory. To improve the efficiency of the data fitting, some techniques to enhance the efficiency of GA and to reduce the possible solutions have been proposed. A numerical example in the case is also given, whose result shows GA can efficiently solve nonlinear data fitting problems and these techniques are able to greatly improve the efficiency of nonlinear data fitting.
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