Computer Engineering and Networking: Proceedings of the 2013 by W. Eric Wong, Tingshao Zhu

By W. Eric Wong, Tingshao Zhu

This e-book goals to ascertain innovation within the fields of computing device engineering and networking. The publication covers vital rising themes in computing device engineering and networking, and it'll support researchers and engineers enhance their wisdom of state-of-art in comparable parts. The publication offers papers from The lawsuits of the 2013 foreign convention on computing device Engineering and community (CENet2013) which was once hung on 20-21 July, in Shanghai, China.

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As for factors in standard nodes, processing time value can be obtained directly from SPTT. However, as for factors in nonstandard nodes, processing time value can only be obtained according to the principle of taking value of the closest to a standard node. Obviously, it is difficult to satisfy customers’ requirements due to a large error. Aiming at the problem, for SPTT with only one factor, data fitting method can be used to transform SPTT into mathematical model. Unfortunately, the great majority of SPTT have more than one factor, each of whose influencing regularity on processing time is very difficult to be mastered at present.

Into full consideration under the premise of the same process conditions, such as machine, working environment, and personnel skill. Processing time standard is usually represented into the tabular form, which is called standard processing time table (SPTT). 1. As for factors in standard nodes, processing time value can be obtained directly from SPTT. However, as for factors in nonstandard nodes, processing time value can only be obtained according to the principle of taking value of the closest to a standard node.

2. The important operators of GA can be summarized as follows: 1. Selection: The purpose of selection is to get good individuals from present population and then make them have chances to generate descendants as father generation. The selection probability is dependent on the fitness value. 2. Crossover: The new individuals can be generated through the operator of crossover and combined the characters of two individuals of their father generation. The operator happened based on the crossover rate.

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