计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (6): 127-129.

• 研发、测试 • 上一篇    下一篇

基于遗传算法的刻面权重构件检索方法的实现

姚全珠,丁新村,雷西玲,白新成   

  1. 西安理工大学 计算机科学与工程学院,西安 710048
  • 收稿日期:2007-07-02 修回日期:2007-10-09 出版日期:2008-02-21 发布日期:2008-02-21
  • 通讯作者: 姚全珠

Implement of component retrieval method based on genetic algorithm with facet-weight

YAO Quan-zhu,DING Xin-cun,LEI Xi-ling,BAI Xin-cheng   

  1. School of Computer Science & Engineering,Xi’an University of Technology,Xi’an 710048,China
  • Received:2007-07-02 Revised:2007-10-09 Online:2008-02-21 Published:2008-02-21
  • Contact: YAO Quan-zhu

摘要: 提出了一种改进的基于遗传算法的刻面权重自学习构件检索模型(CRMFWS),采用基于刻面权重自学习的遗传算法来动态地改变刻面权重以提高查准率;采用基于构件采样的风险最小化算法来解决训练数据不充分问题。实验结果表明该算法是可行的,能够大幅度提高构件的检索效率。

Abstract: An improved intelligent Component Retrieval Model based on genetic algorithm with Facet-Weight Self-learning (CRMFWS) is proposed in this paper.Genetic algorithm based facet weight self-learning algorithm can change the facet weight dynamically in order to improve retrieval accuracy,and risk minimization-based component sampling algorithm is used to solve the insufficiency of training data.The experimental results prove that this algorithm is feasible and can improve component retrieval efficiency greatly.