Abstract
The paper focuses on methods of optimizing a single classifier and combining multiple classifiers by genetic algorithms (GAs). The method uses both the strategies of stacking and GAs to enhance the predictive precision of classifiers. experimetnal results show that it performs well on the task of optimization. Comparing with the single algorithm, it enhances the precision. In task of combining optimization, it can obtain more understandable result than constituent learners.
This project is funded in part by 973 Projects Foundation of China, and the National Doctoral Subject Foundation of China
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Ji, W., Zhang, L., Jin, W. (2000). Optimizing Classifiers by Genetic Algorithm. In: Lu, H., Zhou, A. (eds) Web-Age Information Management. WAIM 2000. Lecture Notes in Computer Science, vol 1846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45151-X_43
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DOI: https://doi.org/10.1007/3-540-45151-X_43
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