A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection-Reference-Cited by-同舟云学术

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection

Author:

Gong Yanlu¹,Zhou Junhai¹,Wu Quanwang¹,Zhou MengChu²,Wen Junhao³

Affiliation:

1. College of Computer Science, Chongqing University,Chongqing,China,400044

2. New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,NJ,USA,07102

3. College of Big Data and Software Engineering, Chongqing University,Chongqing,China,400044

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

Reference53 articles.

3. Feature selection for high-dimensional data: A fast correlation-based filter solution;yu;Proc 20th Inter Conf Machine Learning,0

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