Automatic Generating Test Paper Strategy Based on Improved Particle Swarm Optimization
The basic objective of generating test paper is to generate a high quality paper according to consumers requirements. The existing algorithms are likely failed because of partially fulfilling constraint conditions of generating test paper. An improved Particle Swarm Optimization is proposed for the problem. Natural number coding and subsection strategy are adopted in the new algorithm. The results of experiment show that the improved Particle Swarm Optimization is helpful to improve efficiency of generating test paper.
LI Ming MA Jin-gang ZHAO Jing
School of Technology, Shandong University of Traditional Chinese Medicine, Jinan Shandong 250355, Ch School of information technology, Jiangnan University, Wuxi, Jiangsu, 214122, China Modern Education
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
711-715
2009-08-14（万方平台首次上网日期，不代表论文的发表时间）