Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification-Reference-Cited by-同舟云学术

Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wang Ziqian¹^ORCID,Gao Shangce¹^ORCID,Zhou MengChu²^ORCID,Sato Syuhei¹,Cheng Jiujun³^ORCID,Wang Jiahai⁴^ORCID

Affiliation:

1. Faculty of Engineering, University of Toyama, Toyama, Japan

2. Macau Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China

3. Department of Computer Science and Technology and the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China

4. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Japan Society for the Promotion of Science (JSPS) KAKENHI

Japan Science and Technology Agency (JST)

Fundo para o Desenvolvimento das Ciencias e da Tecnologia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09864047.pdf?arnumber=9864047

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective Ant Colony Optimization: Review;Archives of Computational Methods in Engineering;2024-09-10

2. Information gain-based multi-objective evolutionary algorithm for feature selection;Information Sciences;2024-08

3. A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection;Swarm and Evolutionary Computation;2024-06

4. Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification;Knowledge-Based Systems;2024-05

5. A multitasking multi-objective differential evolution gene selection algorithm enhanced with new elite and guidance strategies for tumor identification;Expert Systems with Applications;2024-05