Title :
One paper auto-generation algorithm for soldier occupational skill appraisal platform
Author :
Dong Li ; Longtao Wu
Author_Institution :
Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
As the current soldier occupational skill appraisal platform is widely used in the troops, the paper quality problem needs to be solved as soon as possible. The article analyzed the paper difficulty distribution computing model, and then constructed models for the paper generating process, put forward an improved genetic algorithm. The new improved algorithm adopted sub-integer coding method and made some changes to the genetic operators. The result of simulation proved the validity of the algorithm, and the paper generated through the algorithm could satisfy the restrictions well.
Keywords :
appraisal; distributed algorithms; genetic algorithms; mathematical operators; professional aspects; adopted subinteger coding method; distribution computing model; genetic algorithm; genetic operators; one-paper automatic generation algorithm; paper generating process; paper quality problem; soldier occupational skill appraisal platform; improved genetic algorithm; paper generation; soldier occupational skill appraisal;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6757996