Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification-Reference-Cited by-同舟云学术

Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Author:

Omozaki Yuichi¹,Masuyama Naoki²,Nojima Yusuke²,Ishibuchi Hisao³

Affiliation:

1. Osaka Prefecture University,Graduate School of Engineering,Osaka,Japan

2. Osaka Metropolitan University,Graduate School of Informatics,Osaka,Japan

3. Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China

Funder

Japan Society for the Promotion of Science

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9882530/9882539/09882681.pdf?arnumber=9882681

Reference20 articles.

1. Design and development of an effi-cient hierarchical approach for multi-label protein function prediction;mohana;Biomedical Research Health Science and Bio Convergence Technology Edition-II,2017

2. Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification

3. Evolutionary Multitasking via Explicit Autoencoding

4. Multiobjective Multifactorial Optimization in Evolutionary Multitasking

5. Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms

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