摘要
采用自适应交叉率和变异率的生物遗传学算法,建立一个智能组卷的数学模型,并对该数学模型的编码方法和遗传操作进行了详细介绍和讨论。对该数学模型的应用求解表明,该方法是对以前的随机法和简单遗传算法组卷的一个显著改善。
An intelligent method to develop exam and quiz sheets for an online test system is presented in this paper. The intelligent method applies an adaptive crossover rate and mutation rate＇ s biologic genetic algorithms to the question selection for exam and quiz sheets. The mathematic model consists of genetic it- eration, sample adaptability function, mating probability, aberrance probability, optimum selection and error estimation. All details of the coding and operation of the model are shown in the paper,and the results of the experimental applications of the model are also discussed. The running time and error analysis show that the improved genetic algorithm is more satisfying compared with the traditional Simple Genetic Algorithm and Probability Method. In the paper some technique procedures and key skills for developing online test system are introduced,which are based on Personal Home Page （PHP） and database MySQL applications.
出处
《南京气象学院学报》
CSCD
北大核心
2006年第2期282-285,共4页
Journal of Nanjing Institute of Meteorology
基金
江苏省横向课题"网络课件与宏平台设计与开发"(2129)
关键词
适应度函数
自适应交叉率
自适应变异率
智能组卷
fitness function
adaptive crossover rate
adaptive mutation rate
test paper-autogenerating
