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Research and implementation of professional quality of personnel evaluation system based on multi-dimensional

机译：基于多维的人事评估系统专业质量的研究与实现

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摘要

This paper uses a new genetic algorithm (New Genetic Algorithm, NGA) to implement the automatic group volume function, solving the problem that the paper is not fully considered scores distribution of knowledge points in the test paper(test dimension) in the system using traditional genetic algorithm (Genetic Algorithm, GA) to implement automatic group volume, putting forward and redefining the fitness function to speed up the convergence. Simulation experiments show that the NGA algorithm is not only efficient, but can generate a valid paper, making the paper score can on the multi-dimensional of the test as far as possible to achieve uniform distribution.
机译：本文采用了一种新的遗传算法（新的遗传算法，NGA）来实现自动组体积函数，解决了纸张未充分考虑使用传统系统中的测试纸（测试维度）中知识点的分数分布的问题遗传算法（遗传算法，GA）实现自动组体积，提出和重新定义健身功能加快收敛。仿真实验表明，NGA算法不仅有效，而且可以产生有效的纸张，使纸张得分可以尽可能地实现测试的多维以实现均匀分布。

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