摘要： 给出了一种基于概率论和自适应遗传算法的智能抽题算法的数学模型。该算法首先以概率论为基础优化初始参数,然后用自适应遗传算法对抽题进行操作,优化搜索过程,有效地解决了试题库中的智能组卷问题,具有较好的性能和实用性。

关键词: 概率, 自适应遗传算法, 试题库, 优化搜索, 智能抽题算法

Abstract: This article gives a mathematics model of intelligent algorithm to extract examinations based on probability and adaptive geneticalgorithm.In this algorithm,the initialization parameters are optimized according to probability,and adaptive genetic algorithm is applied to evolving the examination extracting.It effectively solves the problem of making up test paper in examination base ,and has better capacity and practicability.

中图分类号: 

• G434