We refer to the coarse-grained model made up from registry objects that represents those documents as the physical model.
我们将表示那些文档的注册中心对象所构成的粗粒度模型称为物理模型。
It adopts a nonlinear code based on resources and tasks and inversion operation, meanwhile, a coarse-grained model is applied to design the GRAPGEP algorithm.
该算法采用了基于资源与任务相关的非线性的编码方式和反转操作，同时应用粗粒度模型设计了该算法。
Through comparing these models, it is shown that coarse-grained model is more widely applied for its little communication overhead and its diversity of population than other models.
通过模型比较发现粗粒度模型以其较小的通信开销和对种群多样化，获得了最广泛的应用。
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