王玉芬, 贾燕茹, 郭晓娟. 遗传算法的改进及在自动组卷系统中的应用[J]. 信阳师范学院学报(自然科学版), 2009, 22(1): 130-133.
引用本文: 王玉芬, 贾燕茹, 郭晓娟. 遗传算法的改进及在自动组卷系统中的应用[J]. 信阳师范学院学报(自然科学版), 2009, 22(1): 130-133.
WANG Yu-fen, JIA Yan-ru, GUO Xiao-juan. Improved Genetic Algorithm and Application in the Automatic Test Construction System[J]. Journal of Xinyang Normal University (Natural Science Edition), 2009, 22(1): 130-133.
Citation: WANG Yu-fen, JIA Yan-ru, GUO Xiao-juan. Improved Genetic Algorithm and Application in the Automatic Test Construction System[J]. Journal of Xinyang Normal University (Natural Science Edition), 2009, 22(1): 130-133.

遗传算法的改进及在自动组卷系统中的应用

Improved Genetic Algorithm and Application in the Automatic Test Construction System

  • 摘要: 遗传算法是一种新发展起来的并行优化算法,它很适合解决自动组卷问题.但是遗传算法存在运算速度低、容易陷入局部最优值、早熟收敛等缺陷,针对这些缺陷提出了基于实数编码的遗传算法的改进算法,并在计算机基础自动组卷系统中进行了应用.

     

    Abstract: The genetic algorithm is one kind of newly developed parallel optimization algorithm.It is suitable to solve the problem of automatic test construction.But the genetic algorithm has some disadvantages,such as: lower operating speed,easier to fall into partial optimum value,precocious convergence and so on.For these flaws,the paper proposed an improved genetic algorithm which based on the real code,and has applied in the automatic test construction system of the computer foundation.

     

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