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基于知识的智能优化引导方法研究进展

邢立宁 陈英武

邢立宁, 陈英武. 基于知识的智能优化引导方法研究进展. 自动化学报, 2011, 37(11): 1285-1289. doi: 10.3724/SP.J.1004.2011.01285
引用本文: 邢立宁, 陈英武. 基于知识的智能优化引导方法研究进展. 自动化学报, 2011, 37(11): 1285-1289. doi: 10.3724/SP.J.1004.2011.01285
XING Li-Ning, CHEN Ying-Wu. Research Progress on Intelligent Optimization Guidance Approaches Using Knowledge. ACTA AUTOMATICA SINICA, 2011, 37(11): 1285-1289. doi: 10.3724/SP.J.1004.2011.01285
Citation: XING Li-Ning, CHEN Ying-Wu. Research Progress on Intelligent Optimization Guidance Approaches Using Knowledge. ACTA AUTOMATICA SINICA, 2011, 37(11): 1285-1289. doi: 10.3724/SP.J.1004.2011.01285

基于知识的智能优化引导方法研究进展

doi: 10.3724/SP.J.1004.2011.01285
详细信息
    通讯作者:

    邢立宁 国防科学技术大学信息系统与管理学院讲师. 主要研究方向为智能优化方法,管理理论与管理决策技术. E-mail: xinglining@gmail.com

Research Progress on Intelligent Optimization Guidance Approaches Using Knowledge

  • 摘要: 为了提高智能优化方法的优化性能,国内外学者通过知识来加强对优化过程的引导.对基于 知识的智能优化引导方法进行了综述:一方面通过传统人工智能手段来实现对智能优化方法的引导; 另一方面通过特定知识模型来实现对智能优化方法的引导.从前期优化过程中挖掘有用知识,采用知识来引导后续优化过程,极大地提高了智能优化方法的优化性能.
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  • 收稿日期:  2010-12-10
  • 修回日期:  2011-04-19
  • 刊出日期:  2011-11-20

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