摘要
通过对组卷问题的试卷约束条件进行总结,以及数学模型的分析,探讨了基于传统遗传算法的智能组卷策略,针对传统遗传算法的智能组卷策略进行改进,修改遗传算法的编码方式、适应度函数、改变变异算子等条件,改进的遗传算法组卷策略在实际应用中组卷效率提高,验证了基于遗传算法的组卷问题策略改进的先进性。
Based on the test paper questions the paper sumnnarizes the constraint conditions, and the analysis of mathematical models to explore the genetic algorithm based on the traditional strategy of an intelligent test, the traditional genetic algorithm for an intelligent test strategies to improve, modify the genetic algorithm coding, fitness function, mutation operator and other conditions change, an improved genetic algorithm in the practical application test paper test paper strategy efficiency, verify the test paper based on genetic algorithm strategy for improving advanced nature of the problem.
出处
《中国数字医学》
2013年第4期72-74,78,共4页
China Digital Medicine
基金
湖南省科技厅科研项目支持(编号:2011FJ3100)~~
关键词
组卷策略测评系统遗传算法适应度约束
papermaking strategy, examination system, Generic Algorithm （GA）, fitness, constraints
