智能组卷系统的研究

Research on Intelligent Organizing Test Paper System

试题组卷是考试系统的重要组成部分。通过在编码策略、适应度函数、遗传算子、控制参数等方面的研究提出一种适应于试题智能组卷的改进遗传算法。对适应度函数的适当定标和建立自适应的交叉概率和变异概率,有利于克服未成熟收敛现象,同时能在维持群体多样性的情况下,防止群体进入局部最优。

Organizing test paper is the important component of an examination system.The paper puts forward a improved genetic algorithm suitable for intelligent organizing test paper after the research into coding strategies, fitness function, genetic operator, the control parameters etc.The proper calibration of the fitness function and establishing adaptive crossover probability and mutation probability are in favor of overcoming the immature convergence phenomenon, at the same time can maintain the diversity of the population, and prevent the population into local optimization.