• DocumentCode
    401699
  • Title

    Diversity-based case base maintenance

  • Author

    Yang, Lan-zhen ; Ha, Ming-Hu ; Wang, Xi-Zhao

  • Author_Institution
    Fac. of Math. & Comput. Sci., Hebei Univ., China
  • Volume
    3
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1591
  • Abstract
    Three algorithms are proposed for maintaining a case base. Different from other algorithms that have been proposed for updating a case base, the diversity of cases (relative to each other) plays an important role in these new algorithms. Specifically, these algorithms combine similarity and diversity of cases together for determining a new case base. Experimental results demonstrate that these algorithms can greatly reduce the size of a case base without comprising its competence, especially for the algorithm based on evolution strategies (ESs).
  • Keywords
    case-based reasoning; evolutionary computation; case base maintenance; diversity; evolution strategies; Computer aided software engineering; Computer science; Control systems; Electronic switching systems; Equations; Machine learning algorithms; Mathematics; Problem-solving; Size control; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259750
  • Filename
    1259750