The Research and Realization of Multi-threaded Intelligent Test Paper Generation Based on Genetic Algorithm

摘要：

Tn this paper, a new multi-threaded intelligent strategy of generating test paper based on genetic algorithm is proposed to replace the current test paper generation algorithms that have the disadvantages of lower power, longer time and difficulty in fulfilling the requirements. This algorithm is compared in a number of experiments with the series genetic algorithm and proved to be faster and better. It can be applied in the situations of practical test paper generation.

关键词： genetic algorithm multi-thread mathematic model multi-objective optimization

作者: Ying Shan

作者单位: School of Computer Science and Software Engineering, Tianjin Polytechnic University Tianjin, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Information Application(2010年计算机与信息应用国际会议 ICCIA 2010)

会议地点: 天津

会议语种:英文

页码: 461-464

在线出版日期: 2010-12-03（万方平台首次上网日期，不代表论文的发表时间）