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In this paper, we present basic notions and relevant results in the area of grid scheduling. The current approaches of GA have little weaknesses when it was used in grid scheduling. We introduce mathematical model of grid scheduling and give a detailed GA method by using the "pattern theory" and "building block hypothesis" technologies. This modified method can decrease the randomicity of the current GA. And we use the MGA method to study grid-scheduling problems and find a necessary and sufficient design method. At last, we analyze the laboratory result to show that the modified algorithm has better characteristics than the standard GA when it was used in grid task scheduling.

There are a lot of redundant web pages on Internet. Based on tag statistic and text similarity comparison, we present a novel multilayer framework for detecting duplicated web pages in this paper. We propose two similarity text paragraphs detection algorithms and implement our framework. The experimental results show that our approach achieves high performance, which means that duplicated web pages can be efficiently detected simply by tag statistic and text comparison.

There are a lot of redundant web pages on Internet. Based on tag statistic and text similarity comparison, we present a novel multilayer framework for detecting duplicated web pages in this paper. We propose two similarity text paragraphs detection algorithms and implement our framework. The experimental results show that our approach achieves high performance, which means that duplicated web pages can be efficiently detected simply by tag statistic and text comparison.

By constructing proper Lyapunov function and using some analysis techniques in the impulsive differential equation theory. A sufficient condition which ensures the global exponential periodicity and stability of neural networks with impulses and finite distributed delays is obtained. The obtained results in this paper improve and extend those given in the earlier literature.