一种用于特征选择的二元易经占卜进化算法

Bianna Chen, Tong Zhang, Xue Jia, Jianxiu Jin, C. L. P. Chen, Xiangmin Xu
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引用次数: 0

摘要

特征选择用于从数据中提取最重要的特征,而不会降低算法,特别是分类算法的性能。各种进化算法与分类算法相结合是特征选择的常用方法。本文提出了一种基于易经占卜进化算法的特征选择创新算法——二进制IDEA (BIDEA)。其主要思想是使用一系列编码为二进制向量的六边形,称为六边形状态来表示所选特征的解。经过复杂、翻转和相互三种灵活运算,得到变换后的六边形状态作为候选解。然后通过评估候选解,在下一次迭代中搜索优化后的六边形状态,形成新的状态。在标准数据集上进行的实验表明,该方法在分类准确率、精密度、查全率和特征约简等方面都优于现有的特征选择方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Binary I-Ching Divination Evolutionary Algorithm for Feature Selection
Feature selection is used to extract the most essential features from the data without degrading the performance of an algorithm, especially a classification algorithm. Various evolutionary algorithms (EAs) combined with classification algorithms are commonly used for feature selection. This paper suggests an innovative feature selection algorithm based on I-Ching Divination Evolutionary Algorithm, called binary IDEA (BIDEA). The main idea is to use a series of hexagrams encoded as binary vectors, which is called the hexagram state to represent the solutions of selected features. After three flexible operations, intrication, turnover and mutual, the transformed hexagram state can be obtained as candidate solutions. Then the optimized hexagram state can be searched to form the new state in the next iteration by evaluating candidate solutions. Experiments checked out with standard datasets reveal that the proposed BIDEA performs better in terms of classification accuracy, precision, recall and feature reduction than the competing feature selection methods.
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