The Research and Application of General Item Bank Automatic Test Paper Generation Based on Improved Genetic Algorithms
Automatic test paper generation is a core stage of computer aided test (CA), is one of the indispensable important technology of computer network test system. This article aim to the goal request of test paper generation, adopt different weight coefficient to different target according to its important, define the fitness function of automatic test paper generation, and use the improved genetic algorithm. The experimental results show that the algorithm can solve the problem of automatic test paper generation compared to other algorithm in item bank very good, and has good performance, high efficiency and quality. At the same time, provide a new method and thought for solving similar multi-objective constraint problems and not neighboring combination problems.
Automatic Test Paper Generation Genetic Algorithm Item Bank
Zhen-hua Jia Chun-e Zhang Hao-shuai Fang
Department of Computer Science and Engineering North China Institute of Astronautic Engineering Langfang, China
国际会议
武汉
英文
14-18
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）