摘要
根据智能组卷的概念建立组卷数学模型与目标函数,并提出基于遗传算法的智能组卷策略.通过采用分段整型编码方案和遗传算法的选择、交叉、变异操作,有效地解决了组卷这个多目标优化求解问题.
This thesis established a mathematic modal and objective function to generate test paper according to the concept of test paper generation, Strategy of intelligent generating test paper based on genetic algorithm was developed and investigated. By integeral coded of the group, crossover and mutation operation were adopted, improved global optimization ability and the convergence speed. The algorithm resolved Mufti - object optimization problem of generating test paper.
出处
《怀化学院学报》
2009年第11期37-41,共5页
Journal of Huaihua University
关键词
遗传算法
整型编码
智能组卷
genetic algorithm
integeral coded
intelligent generating test paper
