引用本文:冯彦杰, 王浣尘.学习分类器在绩效寻优中的应用及其组织决策意义[J].控制理论与应用,2003,20(3):470~472.[点击复制]
FENG Yan-jie, WANG Huan-chen.Application of learning classifer in performance optimization and decision meaning[J].Control Theory and Technology,2003,20(3):470~472.[点击复制]
学习分类器在绩效寻优中的应用及其组织决策意义
Application of learning classifer in performance optimization and decision meaning
摘要点击 1491  全文点击 1193  投稿时间:2001-09-10  修订日期:2002-03-20
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DOI编号  10.7641/j.issn.1000-8152.2003.3.033
  2003,20(3):470-472
中文关键词  寻优  分类器  遗传算法
英文关键词  optimizing  classifier system  GA
基金项目  
作者单位E-mail
冯彦杰, 王浣尘 上海交通大学 管理学院, 上海 200054 fengyanjie@263.net 
中文摘要
      首先简单介绍了学习分类器算法及其应用情况, 其次通过一个博奕问题比较了学习分类器、分类器、反馈系统及随机游走策略这4种比较常见的组织决策模式在绩效寻优方面的效率, 指出了学习分类器算法在解决复杂系统的绩效寻优方面具有比较高的效率, 对组织的决策模式具有很大的启发意义.
英文摘要
      Firstly the algorithm of learning classifier system and its application are introduced, then through a game question, a comparison is made of four optimizing strategy: learning classifier system, classifier system, feedback system and walking system. Finally, the conclusion is reached that the learning classifier system is the best one to solve optimizing questions of complexity system.