Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges-Reference-Cited by-同舟云学术

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Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges

Published:2024-10 Issue: Volume:90 Page:101661
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Song Xianfang,Zhang Yong,Zhang Wanqiu,He Chunlin,Hu Ying,Wang Jian,Gong Dunwei

Funder

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference224 articles.

1. A survey on evolutionary computation approaches to feature selection;Xue;IEEE Trans. Evol. Comput.,2016

2. Review of swarm intelligence-based feature selection methods;Rostami;Eng. Appl. Artif. Intell.,2021

3. Feature selection with kernelized multi-class support vector machine;Guo;Pattern Recognit.,2021

4. Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification;Hosseini;Appl. Soft Comput.,2019

5. Feature selection boosted by unselected features;Zheng;IEEE Trans. Neural Netw. Learn. Syst.,2022

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