摘要
应用遗传算法高效地解决了单招面试时自动组卷问题,并结合试验给出结果验证和分析。实验证明,对于一个在一定约束条件下的多目标参数优化问题,采用遗传算法十分有效。
Genetic Algorithms is a method of random searching and optimization to solve complicated problems, which simulates the mechanism of natural selection and genetic variation in the biological world. In the paper, automatic test paper generation, which is focused on multi -objective parameter optimization on certain constraint conditions, is solved by method based on Genetic Algorithms, and the solution is verfied and analyzed by experiments.
出处
《南京工业职业技术学院学报》
2007年第2期36-38,共3页
Journal of Nanjing Institute of Industry Technology
关键词
遗传算法
适应度函数
遗传算子
自动组卷
Genetic Algorithms
fitness function
genetic operators
automatic test paper
