A Survey on Evolutionary Computation Approaches to Feature Selection

Xue, Bing; Zhang, Mengjie; Browne, Will N.; Yao, Xin

doi:10.1109/tevc.2015.2504420

articleIEEE Transactions on Evolutionary ComputationNov 30, 2015HYBRID OA

A Survey on Evolutionary Computation Approaches to Feature Selection

BXBing Xue MZMengjie Zhang WNWill N. Browne XYXin Yao

Victoria University of Wellington

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Abstract

Feature selection is an important task in data mining and machine learning to reduce the dimensionality of the data and increase the performance of an algorithm, such as a classification algorithm. However, feature selection is a challenging task due mainly to the large search space. A variety of methods have been applied to solve feature selection problems, where evolutionary computation (EC) techniques have recently gained much attention and shown some success. However, there are no comprehensive guidelines on the strengths and weaknesses of alternative approaches. This leads to a disjointed and fragmented field with ultimately lost opportunities for improving performance and successful applications. This…

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Topics

Keywords

Evolutionary computation
Computer science
Feature selection
Artificial intelligence
Evolutionary algorithm
Computation
Selection (genetic algorithm)
Machine learning

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