A Review of Swarm Intelligence-Based Feature Selection Methods and Its Application

被引：2

作者：

Janaki, M. ^{[1
]}

Geethalakshmi, S. N. ^{[1
]}

机构：

[1] Avinashilingam Inst Home Sci & Higher Educ Women, Dept Comp Sci, Coimbatore, India

来源：

SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022 | 2023年 / 1428卷

关键词：

Optimization; Metaheuristics algorithms; Feature selection;

D O I：

10.1007/978-981-19-3590-9_34

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

SI or swarm intelligence is considered to be one of the sound computational intelligence which deals with finding solutions for the issue related to optimization problem. The feature set is optimized by utilizing the feature selection technique, which reduces the number of features by eliminating those that are not essential or redundant. This improves the classification accuracy. This paper studies to examine the optimization/selection of significant features which is the most challenging part and it reduces the performance of algorithm time, complexity of calculations. It gives an overview of optimization techniques and their applications.

引用

页码：435 / 447

页数：13

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