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Research on Intelligent Volume Algorithm Based on Improved Genetic Annealing Algorithm

机译:基于改进遗传退火算法的智能体积算法研究

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In order to improve the quality of the traditional exam management system test paper generation, joining the genetic algorithm of simulated annealing algorithm is put forward, and study at last on the automatic group volume algorithm update the topic the difficulty coefficient. By analyzing the simulation results, the algorithm can improve the efficiency and quality of the volume.
机译:为了提高传统考试管理系统试卷生成的质量,提出了模拟退火算法的遗传算法,并最后研究了自动组卷算法更新课题难度系数。通过分析仿真结果,该算法可以提高体积的效率和质量。

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