Research on Test Paper Auto-Generating Based on Immune Genetic Algorithm

摘要：

In order to improve the auto-generating test paper’s quality at the cost of low time, an intelligent algorithm based on immune genetic algorithm was proposed. In the algorithm immune process was added into the basic framework of genetic algorithm, and the algorithm based on vaccination was put forward and used for test paper auto-generating. The problem that genetic algorithm is precocity and easy to fall into a local optimization was resolved by this algorithm. The feasibility and validity of the algorithm was proved by test data compared with other algorithms. At last the validating system enhances the users’ condition constraints for test paper through manual inching, thus the system is more simple and practical.

关键词： Vaccination Immune algorithm Genetic algorithm Test paper auto-generating Local convergence

作者: ZHOU Yan-cong Gu Junhua Sun Xiaochen Dong Yongfeng Fan Ming

作者单位: Tianjin University of Commerce, Hebei University of Technology, Tianjin, CO 300130 CHINA Hebei University of Technology, Tianjin, CO 300130 CHINA Tianjin University , Tianjin, CO 300072. CHINA Tianjin University of Commerce, Tianjin, CO 300130 CHINA

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2503-2507

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）