A by genetic algorithm (GA) to optimize a single classifier and the multiple classifier combination optimization method. The method USES superposition (stacking) strategy. The classical superposition strategy is divided into two steps, the method to the genetic algorithm as a superposition of strategy of step 2. The experimental results show that genetic algorithm can optimize task well, compared to a single classifier, it can improve the accuracy of classification. In the classifier combination optimization, it gets higher precision than the single classifier, and make the classification result has better intelligibility. Key words: classification genetic algorithm to optimize machine learning data mining classification rules. -err

一种基于遗传算法的优化分类器的方法.pdf

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