Sparse fitness evaluation for reducing user burden in interactive genetic algorithm
Inhaltsverzeichnis
Referenz
Lee, J.Y., Cho, S.B.: Sparse fitness evaluation for reducing user burden in interactive genetic algorithm. In: Fuzzy Systems Conference Proceedings, vol. 2, pp. 998–1003. IEEE (1999)
DOI
http://dx.doi.org/10.1109/FUZZY.1999.793088
Abstract
Extended Abstract
Bibtex
@INPROCEEDINGS{793088, author={Joo-Young Lee and Sung-Bae Cho}, booktitle={Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International}, title={Sparse fitness evaluation for reducing user burden in interactive genetic algorithm}, year={1999}, volume={2}, pages={998-1003 vol.2}, keywords={genetic algorithms;image retrieval;interactive systems;pattern clustering;abstract keyword;clustering method;fitness allocation method;image retrieval method;interactive evolutionary computation;interactive genetic algorithm;local minimum;optimization;sparse fitness evaluation;sparse fitness evaluation method;user burden reduction;Biological cells;Clustering methods;Computer science;Evolutionary computation;Genetic algorithms;Humans;Image retrieval;Optimization methods;Performance evaluation;Search methods}, doi={10.1109/FUZZY.1999.793088}, ISSN={1098-7584}, month={Aug}, }
Used References
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D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, 1989, Addison-Wesley Publishing Company Inc.
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C. H. Chen, Statistical Pattern Recognition, 1973, Hayden
K. Fukunaka, Introduction to Statistical Pattern Recognition, 1990, Academic Press
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