A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification-Reference-Cited by-同舟云学术

A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification

Published:2022-10 Issue:5 Volume:26 Page:1087-1101
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Liu Shulei¹^ORCID,Wang Handing²^ORCID,Peng Wei³,Yao Wen³^ORCID

Affiliation:

1. School of Artificial Intelligence, Xidian University, Xi’an, China

2. School of Artificial Intelligence and the Collaborative Innovation Center of Quantum Information of Shaanxi Province, Xidian University, Xi’an, China

3. Defense Innovation Institute, Chinese Academy of Military Science, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/9906461/09706363.pdf?arnumber=9706363

Reference65 articles.

1. A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems

2. Surrogate-assisted hierarchical particle swarm optimization

3. Improved PSO for Feature Selection on High-Dimensional Datasets

4. A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy

5. Hybrid feature selection based on enhanced genetic algorithm for text categorization

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