本文研究了士兵职业技能评价平台的自动生成算法

Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI:10.1109/MIC.2013.6757996

Dong Li, Longtao Wu

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引用次数: 0

摘要

当前士兵职业技能鉴定平台在部队中广泛应用，纸张质量问题亟待解决。分析了论文难度分布计算模型，在此基础上构建了论文生成过程的模型，提出了一种改进的遗传算法。改进算法采用子整数编码方法，并对遗传算子进行了修改。仿真结果证明了该算法的有效性，通过该算法生成的论文能很好地满足约束条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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One paper auto-generation algorithm for soldier occupational skill appraisal platform

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.

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Proceedings of 2013 2nd International Conference on Measurement, Information and Control

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