An adaptive archive-based evolutionary framework for many-task optimization
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Chen, Yongliang 
ORCID: 0000-0002-2483-8890, Zhong, J ORCID: 0000-0003-0113-3430, Feng, L ORCID: 0000-0002-8356-7242 and Zhang, Jun ORCID: 0000-0001-7835-9871
(2019)
An adaptive archive-based evolutionary framework for many-task optimization.
IEEE Transactions on Emerging Topics in Computational Intelligence, 4 (3).
pp. 369-384.
ISSN 2471-285X
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/45247 |
| DOI | https://doi.org/10.1109/TETCI.2019.2916051 |
| Official URL | https://ieeexplore.ieee.org/document/8727933 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | many task evolutionary algorithm, MaTEA, adaptive selection, task management, evolutionary computation, artificial intelligence |
| Citations in Scopus | 56 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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