Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection-Reference-Cited by-同舟云学术

Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection

Published:2023-07-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Yang Jia-Quan¹,Du Ke-Jing²,Chen Chun-Hua³,Wang Hua²,Zhang Jun⁴,Zhan Zhi-Hui¹

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology,Guangzhou,China,510006

2. Institute for Sustainable Industries and Liveable Cities, Victoria University,Melbourne,VIC,Australia,8001

3. School of Software Engineering, South China University of Technology,Guangzhou,China,51006

4. Hanyang University,Ansan,South Korea,15588

Funder

National Key Research and Development Program of China

National Natural Science Foundations of China

Guangdong Natural Science Foundation Research Team

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253662/10253666/10254091.pdf?arnumber=10254091

Reference38 articles.

1. Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

2. Introduction to feature selection toolbox 3-the c++ library for subset search, data modeling and classification;somol;Technical Report No 2287,2010

3. A New Representation in PSO for Discretization-Based Feature Selection

4. Individual Comparisons by Ranking Methods

5. Feature selection using bare-bones particle swarm optimization with mutual information

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