摘要
对组卷问题进行分析,建立了通用组卷模型,讨论了运用遗传算法求解在一定约束条件下的多目标参数优化问题,并针对组卷问题设计了交叉、变异算子和进化模式。结果表明,改进后的遗传算法性能好、效率高、通用性高,符合自然界物种微进化的思想,具有较好的实用性能。
This paper analyses the problem of auto generating paper and discusses the multi-object parameter optimizing problem with restrictions which solved with genetic algorithm, It also makes some improvements to the tradition genetic algorithm. The result of the experiment shows that the improved genetic algorithm has high quality and efficiency. It matches the thought of the tiny evolution; It is an applicable method with satisfactory performance.
出处
《云南农业大学学报》
CAS
CSCD
2005年第5期714-719,共6页
Journal of Yunnan Agricultural University
关键词
遗传算法
自动组卷
通用试题库
genetic algorithm
auto generating paper
exercises store
