Research on Intelligent Test Paper Auto-generating Algorithm Based on Improved GA
A high quality test paper auto-generating is generally at the cost of considerable time. In order to handle the contradiction between quality and speed of combination, an improved subsection-single-point crossover and mutation GA based on real segment coding and condition matrix is proposed in the thesis. In the design of genetic operators roulette wheel selection, subsection-single-point crossover and mutation policy are synthetically used. And the population can be evolved continuously by the optimal-store policy. The algorithm has been proved feasible and effective through test and comparison between 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.
Intelligent Test Paper Auto-generating Genetic Algorithm Condition Matriz Real Segment Coding
Yancong Zhou Yuanyuan Li Chao Feng
School of Information Engineering, Tianjin University of Commerce, Tianjin 300134 School of Information Engineering, ShiJiazhuang University of Economics, Shijiazhuang 050031
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3938-3942
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）