Generation-level parallelism for evolutionary computation: a pipeline-based parallel particle swarm optimization
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Li, Jian-Yu 
ORCID: https://orcid.org/0000-0002-6143-9207, Zhan, Zhi-Hui ORCID: https://orcid.org/0000-0003-0862-0514, Liu, Run-Dong ORCID: https://orcid.org/0000-0002-9526-1419, Wang, Chuan, Kwong, Sam ORCID: https://orcid.org/0000-0001-7484-7261 and Zhang, Jun ORCID: https://orcid.org/0000-0001-7835-9871
(2020)
Generation-level parallelism for evolutionary computation: a pipeline-based parallel particle swarm optimization.
IEEE Transactions on Cybernetics, 51 (10).
pp. 4848-4859.
ISSN 2168-2267
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/45245 |
| DOI | 10.1109/TCYB.2020.3028070 |
| Official URL | https://ieeexplore.ieee.org/document/9248594/autho... |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | evolutionary computation, EC, algorithms, generation level, parallelism |
| Citations in Scopus | 32 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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