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自适应遗传算法解决组卷问题的探讨
引用本文:吴飞.自适应遗传算法解决组卷问题的探讨[J].重庆科技学院学报(自然科学版),2007,9(2):132-135,140.
作者姓名:吴飞
作者单位:吉林大学,长春,130012
摘    要:用遗传算法讨论了在一定约束条件下的多目标参数优化问题.提出了功能块的概念,介绍了一种新的编码方式、交叉算子和突变算子.实验表明这种遗传算法较其它算法能更有效地解决组卷问题.

关 键 词:遗传算法  组卷  功能块  试题库
文章编号:1673-1980(2007)02-0132-04
修稿时间:2007-01-28

On self-adaptive Genetic Algorithm to Solve the Problem of Test Paper Combination
WU Fei.On self-adaptive Genetic Algorithm to Solve the Problem of Test Paper Combination[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2007,9(2):132-135,140.
Authors:WU Fei
Affiliation:Jilin University, Changchun 130012
Abstract:This paper discusses multiple objective parameter optimization under a certain constraint condition through genetic algorithm.It also introduces the concept of function module and a new kind of coding way, crossover operator and mutational operator.Experiments show that this genetic algorithm can solve the problem of test paper combination more effectivelv than the other algorithms.
Keywords:genetic algorithm  test paper combination  function module  item pool
本文献已被 CNKI 维普 万方数据 等数据库收录!
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