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
Link To Document :
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