Abstract
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 mode dole, the average path length and 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.
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