在这个模型中，当细胞分裂时，他们随机选择一套100个不同的“显型”—由清晰的遗传特征产生的行为。
In the model, when cells divide they randomly choose from a set of 100 different "phenotypes" - behaviors that result from distinct genetic characteristics.
该模型中的随机遗传效应则可用MINQUE（0/1）法作调整无偏预测。
The random genetic effects in the model are able to be predicted by the Adjusted Unbiased Prediction (AUP) approach with MINQUE (0/1) method.
利用分子遗传标记信息和随机QTL效应模型，研究了个体遗传评定的效果。
Information coming from molecular genetic markers, and a model which consists of a random QTL effect for the evaluation of animals were used.
采用遗传算法和蒙特卡洛随机模拟相结合对上述随机优化模型进行求解。
The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems.
采用遗传算法和蒙特卡洛随机模拟相结合对上述随机优化模型进行求解。
The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems.
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