基于复杂网络系统理论的制造网格资源节点选择研究

Resource Node Selection in Manufacturing Grid Based on Complex Network Theory

从全局的角度出发,将制造网格资源节点作为复杂网络节点,基于复杂网络理论的视觉建立制造网格系统的复杂网络模型,对制造网格本身的动力学参数,包括资源节点的度及其分布、节点角色、平均最短路径和聚集系数等进行分析;以制造任务为例,结合传统的智能选择算法,对制造网格的资源节点进行选择,提高了选择的最佳性能。研究结果有助于提高制造网格环境下资源的全局优化选择能力。

From the viewpoint of complex network theory, the manufacturing grid resource node was treated as complex network node. The complex network model of the manufacturing grid was built based on complex network theory. Based on the model, the degree and its distribution, the node role, the average shortest path length and the clustering coefficient were studied. Taking an actual manufacturing task as example, the manufacturing resource node selection was performed integrated with the classical intelligent algorithm and the node selection performance is promoted. The research results are help to enhance the global optimization selection ability on the manufacturing resource node.