Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data-Reference-Cited by-同舟云学术

Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data

Published:2022 Issue: Volume: Page:1-1
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Song Xianfang¹,Zhang Yong²,Gong Dunwei¹,Liu Hui¹,Zhang Wanqiu¹

Affiliation:

1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.

2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China; and also with the Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China.

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the Peoples Republic of China and the Fundamental Research Funds for Central Universities JLU

Scientific Innovation 2030 Major Project for New Generation of AI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/4358751/09775183.pdf?arnumber=9775183

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