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基于遗传算法的组卷策略

化莉

苏州科技学院学报:自然科学版2011,Vol.28Issue(3):58-61,80,5.
苏州科技学院学报:自然科学版2011,Vol.28Issue(3):58-61,80,5.

基于遗传算法的组卷策略

Composing test paper strategy based on genetic algorithm

化莉1

作者信息

  • 1. 淮阴工学院计算机工程学院,江苏淮安223003
  • 折叠

摘要

Abstract

The evaluation indexes of test papers were analyzed and the composing algorithm was typically studied.Through the establishment of the mathematical model of the automatic test paper generation,a new method is proposed,based on the genetic algorithm.This algorithm possesses the features of global optimization and quick convergence.It resolves the problems,such as the overlength coding and calculating difficulties in the fitness function value in traditional test paper generation,which better meets the requirements of the automatic test paper generation.Finally,this paper established and described the chromosome structure and fitness function in test paper generation,and designed genetic manipulation of this problem.

关键词

遗传算法/智能策略/数学模型

Key words

genetic algorithm/intelligent strategy/mathematical model

分类

信息技术与安全科学

引用本文复制引用

化莉..基于遗传算法的组卷策略[J].苏州科技学院学报:自然科学版,2011,28(3):58-61,80,5.

基金项目

淮阴工学院科研基金资助项目 ()

苏州科技学院学报:自然科学版

2096-3289

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