一种可调整式的多元变量渐近寻优组卷策略

论述了基于智能组卷策略的题库系统设计的意义,分析了目前已有智能组卷策略存在的问题,针对目前智能组卷策略存在的组卷效率低,灵活性差的问题,提出了一种新的智能组卷策略.新策略采用条形码标识试题,按照对试卷整体约束条件影响的大小依次选取控制参数,优化了搜索路径,提高了智能组卷的效率,增强了智能组卷的灵活性.对不同题库系统进行了软件测试,并对软件测试结果进行了简要的分析,实际运行结果表明,新策略优化了搜索过程、减少了时间开销、提高了组卷的成功率.

The adjustable multi-variable asymptotic optimization for the strategies of generating test paper

The significance of database system based on intelligent strategies of generating test paper is discussed, and the current problems existing in the present Intelligent strategies of generating test paper is analyzed. In view of the present disadvantages of low efficiency and poor flexibility, a new strategy for intelligently generating test paper is presented. The new strategy uses bar codes to identify the test questions, selects the control parameters in turn according to the degree of influence on the overall constraints of the papers, so as to optimize the searching path, improve the efficiency and enhance the flexibility of intelligently generating test paper. Test different databases of problems, and analyze the software testing result in brief. Practical running shows that by this approach, the new strategy optimizes the searching process, costs less time and improves the success rate of generating test papers.