摘要
考试数据库中的智能测试组卷是在一定约束条件下的多目标参数优化问题。通过应用传统的数学方法,很难解决这个问题。该文给了一个数学模型,并提出了一种新的遗传模拟退火算法来解决这个问题。通过对该算法的测试表明,新算法能够很好地提高组卷的成功率,并且在组卷的收敛速度和防止早收敛方面有了很明显地改善。
The intelligent test paper in the examination database optimization problem in multi-target parameters under certain con straints.Through the application of traditional mathematical methods,it is difficult to solve this problem.The article gave a mathemati cal model,and proposes a new genetic simulated annealing algorithm to solve this problem.Tests show that this algorithm,the new algo rithm can improve the success rate of the test paper,and the convergence rate in the test paper to prevent early convergence as pects have clearly improved.
出处
《电脑知识与技术》
2012年第7X期5183-5186,共4页
Computer Knowledge and Technology
关键词
智能组卷
多目标参数
遗传模拟
退火算法
intelligent test paper composition
multi target parameter
genetic simulated annealing algorithm
