Bagging using hybrid real-coded genetic algorithm with pruning and its applications to data classification

To obtain classifiers with high generalization ability, this paper proposes a novel method based on Bagging using a hybrid real-coded genetic algorithm with pruning (HRGA/P). A crucial idea here is to use a combined technique of Bagging with parallel computational ability and HRGA/P with improved generalization ability for more accurate prediction. The application of the proposed method to a wine classification problem demonstrates its effectiveness well.