Parameters Estimation Of The Predicting Model For Germination Rates Of Drying Maize Using Genetic Algorithm

It is known that Genetic Algorithms are good at global searching, and Parameter estimations of complex mathematical models needs efficient methods to search the optimization values. In this paper, a method is proposed to optimize parameters of complex mathematical models by genetic algorithm. By this way, genetic algorithm and parameter estimation carried on organic combination. And it works well on how to raise the precision of prediction of germination rates of drying maize seeds. By way of the inspection result of thin-layer drying and deep-layer drying experiments of maize, the effectiveness and reliability of this method have been proved.